<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>EffiFlow | AI Automation &amp; Developer Productivity Tech Blog</title><description>Explore Claude Code, MCP (Model Context Protocol), workflow automation, and AI-powered development. Practical guides and deep dives into LLM integration for developers.</description><link>https://jangwook.net/</link><language>en</language><item><title>Claude Mythos Preview — Does &quot;Too Capable to Release&quot; Actually Make Sense?</title><link>https://jangwook.net/en/blog/en/claude-mythos-preview-glasswing-ai-cybersecurity/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/claude-mythos-preview-glasswing-ai-cybersecurity/</guid><description>Anthropic decided not to publicly release Claude Mythos Preview, which scored 93.9% on SWE-bench. The model found a 27-year-old OpenBSD vulnerability and is only available to 12 companies through Project Glasswing. Is this genuine responsibility, or clever marketing?</description><pubDate>Thu, 09 Apr 2026 00:00:00 GMT</pubDate></item><item><title>PrismML Bonsai — Does a 1.15GB 8B Model Actually Make Sense?</title><link>https://jangwook.net/en/blog/en/prismml-bonsai-1bit-llm-edge-ai/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/prismml-bonsai-1bit-llm-edge-ai/</guid><description>PrismML Bonsai, built by a Caltech-founded team, is a 1-bit LLM that represents weights using only {-1, +1}. An 8B model fits in 1.15GB and reportedly runs 8x faster than full precision. I looked into whether any of this holds up.</description><pubDate>Wed, 08 Apr 2026 00:00:00 GMT</pubDate></item><item><title>I Ran Gemma 4 Locally — We&apos;re in an Era Where an 8B Model Can Do Function Calling</title><link>https://jangwook.net/en/blog/en/gemma-4-local-agent-edge-ai/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/gemma-4-local-agent-edge-ai/</guid><description>I installed Google&apos;s Gemma 4 (Apache 2.0) via Ollama and tested Korean language, structured output, and function calling firsthand. Can a 9.6GB local model actually become a building block for agent pipelines?</description><pubDate>Mon, 06 Apr 2026 00:00:00 GMT</pubDate></item><item><title>Claude Code Source Leak — What 510K Lines Reveal About Agent Architecture</title><link>https://jangwook.net/en/blog/en/claude-code-source-leak-analysis/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/claude-code-source-leak-analysis/</guid><description>Anthropic&apos;s npm packaging error exposed Claude Code&apos;s full source. Agent loops, memory systems, cost optimization — what developers can learn from 510K lines.</description><pubDate>Sun, 05 Apr 2026 00:00:00 GMT</pubDate></item><item><title>There Are Emotions Inside LLMs — Anthropic Found 171 Emotion Representations in Claude</title><link>https://jangwook.net/en/blog/en/anthropic-emotion-concepts-llm-alignment/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/anthropic-emotion-concepts-llm-alignment/</guid><description>Anthropic&apos;s interpretability team discovered 171 emotion-like representations inside Claude and proved they causally affect model output. Practical implications for prompt engineering and AI safety.</description><pubDate>Sat, 04 Apr 2026 00:00:00 GMT</pubDate></item><item><title>Stripe Minions — How a Slack Emoji Triggers 1,300 PRs a Week</title><link>https://jangwook.net/en/blog/en/stripe-minions-autonomous-coding-agents-1300-prs/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/stripe-minions-autonomous-coding-agents-1300-prs/</guid><description>How Stripe produces over 1,300 PRs weekly with autonomous coding agents called Minions. An analysis of the Blueprint architecture, sandboxed VMs, and 3-tier feedback loop behind the system.</description><pubDate>Fri, 03 Apr 2026 00:00:00 GMT</pubDate></item><item><title>Effloow — I Built a Company Run by 14 AI Agents as a Side Project</title><link>https://jangwook.net/en/blog/en/effloow-side-project-ai-company/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/effloow-side-project-ai-company/</guid><description>I built a content business powered by 14 AI agents on top of Paperclip. Here is how the site runs itself using Laravel, Markdown, and Git, plus lessons learned from Day 1 of operating this experiment.</description><pubDate>Thu, 02 Apr 2026 00:00:00 GMT</pubDate></item><item><title>MCP Gateway — Who Controls Your AI Agent&apos;s Tool Calls?</title><link>https://jangwook.net/en/blog/en/mcp-gateway-agent-traffic-control/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/mcp-gateway-agent-traffic-control/</guid><description>MCP has crossed 97 million monthly downloads and become the de facto standard, but there is no control layer governing which tools agents call and how often. The MCP Gateway pattern addresses this gap.</description><pubDate>Thu, 02 Apr 2026 00:00:00 GMT</pubDate></item><item><title>Paperclip — I Installed the Open-Source Platform That Manages AI Agents Like Employees</title><link>https://jangwook.net/en/blog/en/paperclip-zero-human-company-agent-orchestration/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/paperclip-zero-human-company-agent-orchestration/</guid><description>Using one AI agent well is easy enough. But what about running multiple agents like a company? I installed Paperclip, created a company, hired agents, and here&apos;s my honest review.</description><pubDate>Thu, 02 Apr 2026 00:00:00 GMT</pubDate></item><item><title>Sora Shutdown and the Rapid Reshaping of the AI Video Market — Google Veo 4 Eyes the Vacuum</title><link>https://jangwook.net/en/blog/en/sora-shutdown-ai-video-market-reshaping-veo4/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/sora-shutdown-ai-video-market-reshaping-veo4/</guid><description>OpenAI announced the shutdown of the Sora app. With $1M daily losses and sub-500K users, we analyze the fallout alongside Google Veo 4&apos;s imminent launch and the rise of Runway and Kling, from a practical workflow perspective.</description><pubDate>Wed, 01 Apr 2026 00:00:00 GMT</pubDate></item><item><title>LiteLLM Supply Chain Attack — The Security Blind Spot in AI Infrastructure Dependencies</title><link>https://jangwook.net/en/blog/en/litellm-supply-chain-attack-ai-dependency-security/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/litellm-supply-chain-attack-ai-dependency-security/</guid><description>Analyzing the LiteLLM supply chain attack on PyPI and practical methods to strengthen dependency management and supply chain security in AI tool chains.</description><pubDate>Tue, 31 Mar 2026 00:00:00 GMT</pubDate></item><item><title>AI Coding Agents Leaked 29 Million Secrets — The Blind Spot in MCP Config File Security</title><link>https://jangwook.net/en/blog/en/ai-coding-secrets-sprawl-mcp-config-security/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/ai-coding-secrets-sprawl-mcp-config-security/</guid><description>According to the GitGuardian 2026 report, repositories using AI coding tools leak secrets at twice the GitHub average. Over 24,000 credentials were exposed in MCP config files alone. Here is a practical guide to auditing your setup and fighting back.</description><pubDate>Mon, 30 Mar 2026 00:00:00 GMT</pubDate></item><item><title>Mistral Voxtral TTS — 3-Second Voice Cloning, Open Weight, But No Japanese</title><link>https://jangwook.net/en/blog/en/mistral-voxtral-tts-open-weight-speech/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/mistral-voxtral-tts-open-weight-speech/</guid><description>Analyzing Mistral&apos;s 4B parameter open-weight TTS model Voxtral. It beat ElevenLabs in human evaluations, but the lack of Japanese support is a dealbreaker for Asia-focused projects.</description><pubDate>Sun, 29 Mar 2026 00:00:00 GMT</pubDate></item><item><title>Building Real-Time Voice Agents with Gemini 3.1 Flash Live — Hands-On Impressions</title><link>https://jangwook.net/en/blog/en/gemini-31-flash-live-realtime-voice-agent/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/gemini-31-flash-live-realtime-voice-agent/</guid><description>Analyzing Google&apos;s Gemini 3.1 Flash Live for building real-time voice and vision agents. Covers API structure, tool calling, 90+ language support, and honest limitations from a developer&apos;s perspective.</description><pubDate>Sat, 28 Mar 2026 00:00:00 GMT</pubDate></item><item><title>GitHub Copilot Will Train AI on Your Code Starting April — Opt Out or You Agreed</title><link>https://jangwook.net/en/blog/en/github-copilot-data-policy-opt-out-guide/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/github-copilot-data-policy-opt-out-guide/</guid><description>GitHub announced on March 25 that Copilot Free/Pro/Pro+ user interaction data will be used for AI model training by default. Here is how to opt out and what it actually means.</description><pubDate>Fri, 27 Mar 2026 00:00:00 GMT</pubDate></item><item><title>Google TurboQuant: 3-Bit KV Cache With Zero Accuracy Loss</title><link>https://jangwook.net/en/blog/en/google-turboquant-kv-cache-3bit-compression/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/google-turboquant-kv-cache-3bit-compression/</guid><description>A deep dive into Google TurboQuant&apos;s PolarQuant and QJL techniques — 6x KV cache memory reduction and 8x attention speedup, and what that actually means in practice.</description><pubDate>Thu, 26 Mar 2026 00:00:00 GMT</pubDate></item><item><title>Vibe Physics — A Physics Professor Had Claude Write a Paper</title><link>https://jangwook.net/en/blog/en/anthropic-vibe-physics-ai-research-assistant/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/anthropic-vibe-physics-ai-research-assistant/</guid><description>Analyzing Anthropic&apos;s Science blog debut where Harvard physicist Matthew Schwartz supervised Claude as an &apos;AI grad student.&apos; 110 drafts, 36M tokens, and a paper completed in two weeks.</description><pubDate>Wed, 25 Mar 2026 00:00:00 GMT</pubDate></item><item><title>Dapr Agents v1.0 GA — How to Make AI Agents Survive in Kubernetes</title><link>https://jangwook.net/en/blog/en/dapr-agents-v1-cncf-production-ai-framework/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/dapr-agents-v1-cncf-production-ai-framework/</guid><description>Analyzing Dapr Agents v1.0 announced at KubeCon Europe 2026 — its durable workflows, automatic recovery, and scale-to-zero — and how it differs from existing agent frameworks.</description><pubDate>Tue, 24 Mar 2026 00:00:00 GMT</pubDate></item><item><title>NemoClaw — NVIDIA Wraps OpenClaw with Enterprise Security</title><link>https://jangwook.net/en/blog/en/nvidia-nemoclaw-openclaw-enterprise-agent-platform/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/nvidia-nemoclaw-openclaw-enterprise-agent-platform/</guid><description>Announced at GTC 2026, NVIDIA NemoClaw is an open-source reference stack for running OpenClaw safely in enterprise environments. A look at its realistic limitations and possibilities in alpha stage.</description><pubDate>Tue, 24 Mar 2026 00:00:00 GMT</pubDate></item><item><title>Coding via Telegram with Claude Code Channels — An Honest Comparison from an OpenClaw User</title><link>https://jangwook.net/en/blog/en/claude-code-channels-telegram-bridge/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/claude-code-channels-telegram-bridge/</guid><description>Claude Code now has a Channels feature. Send a message on Telegram, and Claude running in your local terminal executes code and replies. It borrows the channel concept from OpenClaw but takes a completely different approach to the security model — and that&apos;s what makes it interesting.</description><pubDate>Sat, 21 Mar 2026 00:00:00 GMT</pubDate></item><item><title>Deeptune: &apos;Training Gyms&apos; for AI Agents — What a16z&apos;s $43M Bet Tells Us About the Future of Agent Training</title><link>https://jangwook.net/en/blog/en/deeptune-ai-agent-training-gyms-rl-professional-workflows/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/deeptune-ai-agent-training-gyms-rl-professional-workflows/</guid><description>Deeptune raised a $43M Series A led by a16z. Their approach — training AI agents through RL environments that simulate professional workflows — signals a fundamental shift for engineering organizations.</description><pubDate>Sat, 21 Mar 2026 00:00:00 GMT</pubDate></item><item><title>IBM&apos;s $11B Confluent Buy — Real-Time Data Fuels AI Agents</title><link>https://jangwook.net/en/blog/en/ibm-confluent-realtime-data-ai-agents/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/ibm-confluent-realtime-data-ai-agents/</guid><description>IBM acquired Confluent for $11 billion, elevating real-time data streaming as core infrastructure for AI agents. A CTO-level analysis of what this deal means and how engineering orgs should respond.</description><pubDate>Fri, 20 Mar 2026 00:00:00 GMT</pubDate></item><item><title>Gemini Embedding 2 — How Multimodal Embeddings Change RAG</title><link>https://jangwook.net/en/blog/en/gemini-embedding-2-multimodal-rag-pipeline/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/gemini-embedding-2-multimodal-rag-pipeline/</guid><description>A deep dive into Google</description><pubDate>Thu, 19 Mar 2026 00:00:00 GMT</pubDate></item><item><title>AlphaEvolve Breaks 5 Ramsey Records: AI as Research Partner</title><link>https://jangwook.net/en/blog/en/alphaevolve-ramsey-ai-research-partner/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/alphaevolve-ramsey-ai-research-partner/</guid><description>Google DeepMind&apos;s AlphaEvolve broke five Ramsey number records held up to 20 years. What this means for AI as a research partner and engineering leadership.</description><pubDate>Wed, 18 Mar 2026 00:00:00 GMT</pubDate></item><item><title>Hindsight — Open-Source MCP Memory That Gives AI Agents Learning</title><link>https://jangwook.net/en/blog/en/hindsight-mcp-agent-memory-learning/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/hindsight-mcp-agent-memory-learning/</guid><description>Analyzing the architecture, core capabilities, and production deployment strategies of the Hindsight MCP memory system that solves the memory problem for AI agents.</description><pubDate>Tue, 17 Mar 2026 00:00:00 GMT</pubDate></item><item><title>Morgan Stanley&apos;s 2026 AI Leap Warning — 5 Things CTOs Must Do Now</title><link>https://jangwook.net/en/blog/en/morgan-stanley-ai-leap-2026-cto-strategy/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/morgan-stanley-ai-leap-2026-cto-strategy/</guid><description>Morgan Stanley predicts a non-linear AI capability leap in early 2026. Here are 5 strategies engineering leaders should execute right now to stay ahead.</description><pubDate>Mon, 16 Mar 2026 00:00:00 GMT</pubDate></item><item><title>Perplexity Computer — The Rise of Always-On AI Agents</title><link>https://jangwook.net/en/blog/en/perplexity-computer-always-on-ai-agent/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/perplexity-computer-always-on-ai-agent/</guid><description>Analyzing Perplexity Personal Computer and Enterprise. A 24/7 always-on AI agent completed 3.25 years of work in 4 weeks — with EM adoption strategies.</description><pubDate>Sun, 15 Mar 2026 00:00:00 GMT</pubDate></item><item><title>AI Agent Identity Dark Matter: Why 80% of Enterprises Can&apos;t Control Their Own AI</title><link>https://jangwook.net/en/blog/en/ai-agent-identity-dark-matter-enterprise/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/ai-agent-identity-dark-matter-enterprise/</guid><description>70% of enterprises already run AI agents in production, yet 80% can&apos;t track their real-time behavior. Explore the Identity Dark Matter concept, the governance gap, and a 5-step action plan for engineering managers and CTOs.</description><pubDate>Sat, 14 Mar 2026 00:00:00 GMT</pubDate></item><item><title>GLM-5: MIT Open-Source Frontier Model for Enterprise</title><link>https://jangwook.net/en/blog/en/glm-5-mit-opensource-frontier-enterprise/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/glm-5-mit-opensource-frontier-enterprise/</guid><description>Zhipu AI released GLM-5 with 744B MoE trained on Huawei Ascend without NVIDIA. A cost-effective MIT-licensed alternative for enterprise deployments.</description><pubDate>Sat, 14 Mar 2026 00:00:00 GMT</pubDate></item><item><title>Microsoft Agent Framework GA: AutoGen + Semantic Kernel Unified — EM/CTO Production Adoption Strategy</title><link>https://jangwook.net/en/blog/en/microsoft-agent-framework-ga-production-strategy/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/microsoft-agent-framework-ga-production-strategy/</guid><description>Microsoft Agent Framework, unifying AutoGen and Semantic Kernel, is approaching Q1 2026 GA. From an EM/CTO perspective, this post covers key features, migration strategy, and a production adoption roadmap.</description><pubDate>Sat, 14 Mar 2026 00:00:00 GMT</pubDate></item><item><title>OpenAI Acquires Promptfoo — The AI Agent DevSecOps Era Begins</title><link>https://jangwook.net/en/blog/en/openai-promptfoo-ai-agent-devsecops/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/openai-promptfoo-ai-agent-devsecops/</guid><description>OpenAI has acquired Promptfoo, the AI security testing platform used by 25% of the Fortune 500. As it integrates into the Frontier platform, a new standard for AI agent DevSecOps is taking shape.</description><pubDate>Sat, 14 Mar 2026 00:00:00 GMT</pubDate></item><item><title>How to Detect Agent Washing: A 7-Point EM Checklist</title><link>https://jangwook.net/en/blog/en/agent-washing-detection-em-checklist/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/agent-washing-detection-em-checklist/</guid><description>Only ~130 of thousands of AI agent vendors build genuinely agentic systems. This practical 7-point checklist helps Engineering Managers distinguish real agentic AI from marketing buzzwords.</description><pubDate>Fri, 13 Mar 2026 00:00:00 GMT</pubDate></item><item><title>Anthropic&apos;s Big AI Ecosystem Play — Institute &amp; $100M Fund</title><link>https://jangwook.net/en/blog/en/anthropic-institute-partner-network/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/anthropic-institute-partner-network/</guid><description>Anthropic Institute launch, $100M Claude Partner Network, and Claude Certified Architect. A CTO-level analysis of AI vendor ecosystem maturity in 2026.</description><pubDate>Fri, 13 Mar 2026 00:00:00 GMT</pubDate></item><item><title>GPT-5.4 Launch — Native Computer Use and 1M Context Window Will Transform Engineering Teams</title><link>https://jangwook.net/en/blog/en/gpt54-computer-use-1m-context-engineering-impact/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/gpt54-computer-use-1m-context-engineering-impact/</guid><description>OpenAI released GPT-5.4 on March 5, 2026. Computer use surpassing humans (75% vs 72.4% on OSWorld), 1M token context window, 47% token savings via tool search — here&apos;s what engineering managers need to know.</description><pubDate>Fri, 13 Mar 2026 00:00:00 GMT</pubDate></item><item><title>9 Design Principles for Production-Grade AI Agent Deployment — A Practical Guide from the Latest arXiv Research</title><link>https://jangwook.net/en/blog/en/production-grade-ai-agent-design-principles/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/production-grade-ai-agent-design-principles/</guid><description>Solve the core challenges of deploying AI agents to production in 2026 with 9 battle-tested design principles from arXiv research, presented from an Engineering Manager perspective.</description><pubDate>Fri, 13 Mar 2026 00:00:00 GMT</pubDate></item><item><title>AI Agent Observability in Production: Making Your LLM Systems Transparent</title><link>https://jangwook.net/en/blog/en/ai-agent-observability-production-guide/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/ai-agent-observability-production-guide/</guid><description>A practical guide for Engineering Managers on monitoring multi-agent LLM systems in production. Covers distributed tracing, metrics, logging, OpenTelemetry, and a comparison of Langfuse, LangSmith, and Braintrust.</description><pubDate>Thu, 12 Mar 2026 00:00:00 GMT</pubDate></item><item><title>MCP Apps: Interactive UI Running Inside AI Chat</title><link>https://jangwook.net/en/blog/en/mcp-apps-interactive-ui-agent-ux/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/mcp-apps-interactive-ui-agent-ux/</guid><description>How MCP Apps transform AI agent UX—from sandboxed iframe and JSON-RPC bidirectional communication architecture to real implementation code. A complete guide from an Engineering Manager perspective.</description><pubDate>Thu, 12 Mar 2026 00:00:00 GMT</pubDate></item><item><title>mcp2cli — Cut MCP Token Costs by 96–99% with CLI-Based Tool Discovery</title><link>https://jangwook.net/en/blog/en/mcp2cli-token-cost-optimization/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/mcp2cli-token-cost-optimization/</guid><description>Connecting MCP servers injects all tool schemas into context every turn—362,000 tokens wasted for 120 tools over 25 turns. mcp2cli solves this with CLI-based on-demand discovery, cutting costs by 96–99%. Here&apos;s how it works and when to use it.</description><pubDate>Thu, 12 Mar 2026 00:00:00 GMT</pubDate></item><item><title>OpenAI Open Responses: A Common Standard for Agentic AI</title><link>https://jangwook.net/en/blog/en/openai-open-responses-agentic-standard/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/openai-open-responses-agentic-standard/</guid><description>OpenAI Open Responses spec standardizes agentic AI workflows. We analyze its core concepts, ecosystem support, and adoption strategies from an EM/CTO perspective.</description><pubDate>Thu, 12 Mar 2026 00:00:00 GMT</pubDate></item><item><title>Claude Code Review — Multi-Agent PR Reviews Jump Coverage from 16% to 54%</title><link>https://jangwook.net/en/blog/en/claude-code-review-multi-agent-pr/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/claude-code-review-multi-agent-pr/</guid><description>Complete breakdown of Anthropic&apos;s new Code Review feature for Claude Code: parallel multi-agent architecture, $15–25 per-PR cost structure, and everything Engineering Managers need to know before adopting</description><pubDate>Wed, 11 Mar 2026 00:00:00 GMT</pubDate></item><item><title>Context Engineering: The Core Skill Behind Production AI Agents</title><link>https://jangwook.net/en/blog/en/context-engineering-production-ai-agents/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/context-engineering-production-ai-agents/</guid><description>Why context engineering has become the defining skill for production AI agents in 2026 — 4 critical failure patterns and 5 core techniques, from an Engineering Manager perspective.</description><pubDate>Wed, 11 Mar 2026 00:00:00 GMT</pubDate></item><item><title>Karpathy&apos;s autoresearch: 100 Autonomous ML Experiments Overnight</title><link>https://jangwook.net/en/blog/en/karpathy-autoresearch-overnight-ml-experiments/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/karpathy-autoresearch-overnight-ml-experiments/</guid><description>Andrej Karpathy&apos;s autoresearch is a 630-line open-source tool that lets AI agents autonomously iterate ML experiments overnight. We analyze R&amp;D team adoption strategies from an EM perspective.</description><pubDate>Wed, 11 Mar 2026 00:00:00 GMT</pubDate></item><item><title>LLMs Unmasking Anonymity — Reality of Large-Scale Identity Tracking</title><link>https://jangwook.net/en/blog/en/llm-deanonymization-privacy-risk-defense/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/llm-deanonymization-privacy-risk-defense/</guid><description>Analyzing large-scale online deanonymization research using LLMs and presenting organizational security defense strategies for engineering leaders.</description><pubDate>Wed, 11 Mar 2026 00:00:00 GMT</pubDate></item><item><title>AI Reliability Engineer: The New Engineering Team Paradigm and the Centaur Pod Model in 2026</title><link>https://jangwook.net/en/blog/en/ai-reliability-engineer-centaur-pod-2026/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/ai-reliability-engineer-centaur-pod-2026/</guid><description>Junior developer roles are evolving into AI Reliability Engineers (AREs). From Centaur Pod team structures to Code Audit hiring and Defect Capture Rate metrics — the AI-native team design strategy every Engineering Manager needs to act on now</description><pubDate>Tue, 10 Mar 2026 00:00:00 GMT</pubDate></item><item><title>Claude Found 22 CVEs in Firefox — AI Security Audits Arrive</title><link>https://jangwook.net/en/blog/en/claude-firefox-22-cves-ai-security-audit/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/claude-firefox-22-cves-ai-security-audit/</guid><description>Anthropic Claude Opus 4.6 discovered 22 CVEs in Firefox in just two weeks. We break down how AI-driven security audits work and what engineering leaders should do next.</description><pubDate>Tue, 10 Mar 2026 00:00:00 GMT</pubDate></item><item><title>The Science of Agent Scaling — Google Research Debunks the &quot;More Agents = Better&quot; Myth</title><link>https://jangwook.net/en/blog/en/google-agent-scaling-science-multiagent-limits/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/google-agent-scaling-science-multiagent-limits/</guid><description>Google Research&apos;s 180-configuration quantitative experiment exposes the multi-agent paradox: 39–70% performance degradation on sequential tasks, 17.2× error amplification, and what 87% predictive accuracy means for your architecture decisions.</description><pubDate>Tue, 10 Mar 2026 00:00:00 GMT</pubDate></item><item><title>RoguePilot — GitHub Copilot Prompt Injection Vulnerability and AI Coding Tool Security</title><link>https://jangwook.net/en/blog/en/roguepilot-copilot-prompt-injection-security/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/roguepilot-copilot-prompt-injection-security/</guid><description>Analysis of the RoguePilot vulnerability found in GitHub Codespaces, passive prompt injection risks in AI coding tools, and security guidelines for engineering teams.</description><pubDate>Tue, 10 Mar 2026 00:00:00 GMT</pubDate></item><item><title>A2A + MCP Hybrid Architecture: 2026 Multi-Agent Production Strategy</title><link>https://jangwook.net/en/blog/en/a2a-mcp-hybrid-architecture-production-guide/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/a2a-mcp-hybrid-architecture-production-guide/</guid><description>Google A2A and Anthropic MCP are complementary, not competing. From an EM/CTO perspective, understand the role differences between the two protocols and learn strategies for safely operating multi-agent systems in production.</description><pubDate>Mon, 09 Mar 2026 00:00:00 GMT</pubDate></item><item><title>Cursor Agent Trace — An Open Standard for Tracking AI-Generated Code</title><link>https://jangwook.net/en/blog/en/cursor-agent-trace-ai-code-attribution/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/cursor-agent-trace-ai-code-attribution/</guid><description>Analyze Cursor Agent Trace 0.1.0 specification and discover why AI code attribution tracking is critical for engineering leaders and CTOs beyond git blame.</description><pubDate>Mon, 09 Mar 2026 00:00:00 GMT</pubDate></item><item><title>Cut Agent Fleet Costs by 90% with Heterogeneous LLM Architecture</title><link>https://jangwook.net/en/blog/en/heterogeneous-llm-agent-fleet-cost-optimization/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/heterogeneous-llm-agent-fleet-cost-optimization/</guid><description>The Plan-Execute pattern: large models plan, small models execute. A practical guide for EMs and CTOs on heterogeneous LLM architecture strategies to dramatically reduce agent fleet costs without sacrificing quality.</description><pubDate>Mon, 09 Mar 2026 00:00:00 GMT</pubDate></item><item><title>Tool-R0: A Self-Play RL Framework for Training Tool-Using AI Agents with Zero Data</title><link>https://jangwook.net/en/blog/en/tool-r0-zero-data-agent-training/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/tool-r0-zero-data-agent-training/</guid><description>The arXiv paper Tool-R0 achieves 92.5% improvement in LLM tool-calling via Self-Play RL alone, with no training data. We analyze its Generator-Solver co-evolution and practical implications.</description><pubDate>Mon, 09 Mar 2026 00:00:00 GMT</pubDate></item><item><title>Bayesian Teaching: How LLMs Learn Probabilistic Reasoning — A Deep Dive into Google&apos;s Nature Communications Research</title><link>https://jangwook.net/en/blog/en/bayesian-teaching-llm-probabilistic-reasoning/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/bayesian-teaching-llm-probabilistic-reasoning/</guid><description>Google&apos;s Bayesian Teaching research, published in Nature Communications, introduces a training methodology that enables LLMs to probabilistically update their beliefs when receiving new information. This post analyzes its implications for AI agents and enterprise systems from an engineering leadership perspective.</description><pubDate>Sun, 08 Mar 2026 00:00:00 GMT</pubDate></item><item><title>Deloitte Tech Trends 2026: Agentic AI Operations Framework — Why 89% Never Reach Production</title><link>https://jangwook.net/en/blog/en/deloitte-agentic-ai-operations-2026/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/deloitte-agentic-ai-operations-2026/</guid><description>Only 11% of enterprises run Agentic AI in production. The barrier isn&apos;t technology—it&apos;s operational model. Here&apos;s the Delegate-Review-Own framework for EM/VPoE.</description><pubDate>Sun, 08 Mar 2026 00:00:00 GMT</pubDate></item><item><title>MCP Security Crisis — 30 CVEs in 60 Days</title><link>https://jangwook.net/en/blog/en/mcp-security-crisis-30-cves-enterprise-hardening/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/mcp-security-crisis-30-cves-enterprise-hardening/</guid><description>The MCP attack surface is expanding fast. Here&apos;s an analysis of 30 CVEs, a three-layer attack model, and an enterprise security hardening checklist for engineering leaders.</description><pubDate>Sun, 08 Mar 2026 00:00:00 GMT</pubDate></item><item><title>ADL: The OpenAPI of AI Agent Governance</title><link>https://jangwook.net/en/blog/en/adl-agent-definition-language-governance/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/adl-agent-definition-language-governance/</guid><description>Explore ADL for declarative agent definition and standardization, with governance strategies for engineering leaders and CTOs.</description><pubDate>Sat, 07 Mar 2026 00:00:00 GMT</pubDate></item><item><title>Cognitive Debt: The New Liability AI Teams Are Quietly Accumulating in 2026</title><link>https://jangwook.net/en/blog/en/cognitive-debt-agentic-coding-2026/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/cognitive-debt-agentic-coding-2026/</guid><description>Anthropic&apos;s 2026 Agentic Coding Trends Report heralds a productivity revolution — but a parallel research thread warns of &quot;Cognitive Debt.&quot; As AI writes more code, teams quietly lose their shared understanding of their own systems. Here&apos;s what Engineering Managers must do now.</description><pubDate>Sat, 07 Mar 2026 00:00:00 GMT</pubDate></item><item><title>How to Build an Elite AI Engineering Organization in 2026: Why a 3-Person Team Beats 50</title><link>https://jangwook.net/en/blog/en/elite-ai-engineering-culture-2026/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/elite-ai-engineering-culture-2026/</guid><description>Analysis of the elite AI engineering culture that topped Hacker News. Understanding the 5.7x gap between $3.48M vs $610K revenue per employee, and the Taste × Discipline × Leverage formula every EM should practice</description><pubDate>Sat, 07 Mar 2026 00:00:00 GMT</pubDate></item><item><title>Olmo Hybrid — Achieving 2x Data Efficiency with a Transformer + Linear RNN Hybrid</title><link>https://jangwook.net/en/blog/en/olmo-hybrid-transformer-rnn-data-efficiency/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/olmo-hybrid-transformer-rnn-data-efficiency/</guid><description>AI2&apos;s Olmo Hybrid combines Transformer and DeltaNet layers in a 3:1 ratio, achieving the same accuracy with 49% fewer tokens. We analyze the architectural innovation and its practical implications.</description><pubDate>Sat, 07 Mar 2026 00:00:00 GMT</pubDate></item><item><title>AI&apos;s Convenience Loop: How Coding Tools Reshape Language Choices</title><link>https://jangwook.net/en/blog/en/ai-convenience-loop-reshaping-language-choices/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/ai-convenience-loop-reshaping-language-choices/</guid><description>GitHub Octoverse data reveals the convenience loop effect of AI coding tools. Explore why TypeScript surged 66% and what it means for tech stack strategy from an EM/CTO perspective.</description><pubDate>Fri, 06 Mar 2026 00:00:00 GMT</pubDate></item><item><title>Meta Llama 4 Deep Dive — How Maverick &amp; Scout Are Reshaping Enterprise AI Strategy</title><link>https://jangwook.net/en/blog/en/llama4-maverick-scout-enterprise-strategy/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/llama4-maverick-scout-enterprise-strategy/</guid><description>A technical and strategic analysis of Meta Llama 4 Maverick (400B MoE) and Scout (10M context window): architecture, benchmarks, cost structure, and what engineering leaders need to know to update their open-source AI strategy.</description><pubDate>Fri, 06 Mar 2026 00:00:00 GMT</pubDate></item><item><title>NIST AI Agent Security Standards: The Framework Every EM Must Prepare Now</title><link>https://jangwook.net/en/blog/en/nist-ai-agent-security-standards/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/nist-ai-agent-security-standards/</guid><description>Understanding NIST AI Agent Standards Initiative and an actionable security checklist for Engineering Managers to strengthen AI agent security within their teams.</description><pubDate>Fri, 06 Mar 2026 00:00:00 GMT</pubDate></item><item><title>Optimizing AI Agent Workflows with Meta-Tools: AWO Framework Guide</title><link>https://jangwook.net/en/blog/en/agentic-workflow-meta-tools-optimization/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/agentic-workflow-meta-tools-optimization/</guid><description>Analyze the Agent Workflow Optimization (AWO) framework from arXiv research. Compile repetitive tool call patterns into meta-tools to reduce LLM calls by 12% and improve success rates by 4%.</description><pubDate>Thu, 05 Mar 2026 00:00:00 GMT</pubDate></item><item><title>Claude Cowork Enterprise Launch: From Dev Tool to Platform</title><link>https://jangwook.net/en/blog/en/claude-cowork-enterprise-productivity-platform/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/claude-cowork-enterprise-productivity-platform/</guid><description>Analysis of Anthropic Claude Cowork enterprise features. Plugin Marketplace, MCP connectors, Excel and PowerPoint integration — a CTO strategy guide for org-wide AI adoption.</description><pubDate>Thu, 05 Mar 2026 00:00:00 GMT</pubDate></item><item><title>Deep-Thinking Ratio: Cut LLM Inference Costs by 50% Without Sacrificing Quality</title><link>https://jangwook.net/en/blog/en/deep-thinking-ratio-llm-cost-optimization/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/deep-thinking-ratio-llm-cost-optimization/</guid><description>Google &amp; UVA research overturns the &quot;longer = better&quot; assumption for LLM reasoning. The Deep-Thinking Ratio (DTR) can cut inference costs in half while improving accuracy. Essential insights for Engineering Managers and VPoEs managing AI infrastructure.</description><pubDate>Thu, 05 Mar 2026 00:00:00 GMT</pubDate></item><item><title>MCP Joins the Linux Foundation — An Adoption Roadmap for Engineering Teams</title><link>https://jangwook.net/en/blog/en/mcp-open-standard-linux-foundation-engineering-guide/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/mcp-open-standard-linux-foundation-engineering-guide/</guid><description>Anthropic donated MCP to the Linux Foundation, with OpenAI, Google, and Microsoft on board. With 76% of companies exploring adoption, here is a practical strategy guide for EMs and VPoEs.</description><pubDate>Wed, 04 Mar 2026 00:00:00 GMT</pubDate></item><item><title>MIT EnCompass: Boosting AI Agent Accuracy by 40% with Search Algorithms</title><link>https://jangwook.net/en/blog/en/mit-encompass-agent-search-reliability/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/mit-encompass-agent-search-reliability/</guid><description>Discover how MIT CSAIL&apos;s EnCompass framework applies search strategies to AI agent execution paths, dramatically improving reliability and accuracy in production.</description><pubDate>Wed, 04 Mar 2026 00:00:00 GMT</pubDate></item><item><title>Jira AI Agents and MCP — What Engineering Managers Need to Know</title><link>https://jangwook.net/en/blog/en/jira-ai-agents-mcp-engineering-management/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/jira-ai-agents-mcp-engineering-management/</guid><description>Atlassian has officially launched AI agents in Jira and adopted MCP platform-wide. Here&apos;s what engineering managers need to prepare for organizational change.</description><pubDate>Tue, 03 Mar 2026 00:00:00 GMT</pubDate></item><item><title>LLM Coding Harness Optimization — Boost 15 Models by Changing the Harness</title><link>https://jangwook.net/en/blog/en/llm-coding-harness-optimization/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/llm-coding-harness-optimization/</guid><description>Harness optimization (edit formats, tool interfaces) yields 5-14% gains over model selection in LLM coding tools. A practical guide to harness engineering strategies.</description><pubDate>Tue, 03 Mar 2026 00:00:00 GMT</pubDate></item><item><title>AI Model Distillation Attacks — IP Protection for CTOs</title><link>https://jangwook.net/en/blog/en/ai-distillation-attacks-enterprise-defense/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/ai-distillation-attacks-enterprise-defense/</guid><description>Analyzing Anthropic&apos;s detection of large-scale AI model distillation attacks and presenting practical strategies for enterprises to protect intellectual property when using AI APIs.</description><pubDate>Mon, 02 Mar 2026 00:00:00 GMT</pubDate></item><item><title>Anthropic vs Pentagon — CTO Vendor Strategy for the AI Governance Era</title><link>https://jangwook.net/en/blog/en/anthropic-pentagon-ai-governance-cto-lessons/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/anthropic-pentagon-ai-governance-cto-lessons/</guid><description>Analyzing Anthropic&apos;s refusal of Pentagon military AI demands and providing practical guidance for CTOs/VPoEs on establishing AI vendor dependency risk and governance strategies.</description><pubDate>Mon, 02 Mar 2026 00:00:00 GMT</pubDate></item><item><title>GitHub Agentic Workflows—AI Agents Join CI/CD</title><link>https://jangwook.net/en/blog/en/github-agentic-workflows-cicd-ai/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/github-agentic-workflows-cicd-ai/</guid><description>Analyzing GitHub Agentic Workflows technical preview. Define automation in Markdown, and AI agents perform issue triage, code reviews, and test generation in Continuous AI paradigm.</description><pubDate>Sun, 01 Mar 2026 00:00:00 GMT</pubDate></item><item><title>MIT TLT: Doubling Reasoning LLM Training Speed</title><link>https://jangwook.net/en/blog/en/mit-tlt-adaptive-drafter-reasoning-training/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/mit-tlt-adaptive-drafter-reasoning-training/</guid><description>MIT researchers introduced TLT, accelerating reasoning LLM RL training by 70-210% through adaptive drafters and speculative decoding. Reduces training costs without additional hardware.</description><pubDate>Sat, 28 Feb 2026 00:00:00 GMT</pubDate></item><item><title>Claude Code Remote Control Complete Guide — From Setup to Mobile Control</title><link>https://jangwook.net/en/blog/en/claude-code-remote-control-guide/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/claude-code-remote-control-guide/</guid><description>A complete guide to setting up and using Claude Code Remote Control. Learn how to monitor and control desktop tasks from your phone with practical workflow examples.</description><pubDate>Thu, 26 Feb 2026 00:00:00 GMT</pubDate></item><item><title>Switching OpenClaw to OpenAI Codex — A Practical Guide After the Claude/Gemini ToS Confusion</title><link>https://jangwook.net/en/blog/en/openclaw-openai-codex-migration/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/openclaw-openai-codex-migration/</guid><description>A step-by-step guide for OpenClaw users migrating to OpenAI Codex after the Claude and Gemini ToS changes. Covers backup, model switching, and per-agent configuration.</description><pubDate>Sun, 22 Feb 2026 00:00:00 GMT</pubDate></item><item><title>Don&apos;t Trust the Salt — Multilingual LLM Safety and the Guardrail Blind Spots</title><link>https://jangwook.net/en/blog/en/dont-trust-the-salt-multilingual-llm-safety/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/dont-trust-the-salt-multilingual-llm-safety/</guid><description>An analysis of how LLM guardrails fail in multilingual environments. We examine the structural issues causing safety verification failures in non-English languages and practical countermeasures.</description><pubDate>Sat, 21 Feb 2026 00:00:00 GMT</pubDate></item><item><title>GGML/llama.cpp Joins Hugging Face — A Structural Turning Point for Local AI Infrastructure</title><link>https://jangwook.net/en/blog/en/ggml-llamacpp-huggingface/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/ggml-llamacpp-huggingface/</guid><description>The ggml.ai team joins Hugging Face to secure the long-term sustainability of llama.cpp. We analyze the structural changes and technical implications for the local AI inference ecosystem.</description><pubDate>Sat, 21 Feb 2026 00:00:00 GMT</pubDate></item><item><title>ASIC Inference Chip Runs Llama 3.1 8B at 16,000 tok/s — The GPU-Free AI Inference Era</title><link>https://jangwook.net/en/blog/en/asic-llm-inference-16k-tps/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/asic-llm-inference-16k-tps/</guid><description>Startup Taalas achieves 16,000 tok/s on Llama 3.1 8B using custom ASIC chips without GPUs. We analyze the shift away from GPU dependency and the inference cost revolution.</description><pubDate>Fri, 20 Feb 2026 00:00:00 GMT</pubDate></item><item><title>Consistency Diffusion Language Models: 14x Faster Inference Without Quality Loss</title><link>https://jangwook.net/en/blog/en/consistency-diffusion-lm/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/consistency-diffusion-lm/</guid><description>Together AI introduces CDLM, boosting diffusion language model inference up to 14x faster while maintaining quality. Block-wise parallel generation with KV caching is the key breakthrough.</description><pubDate>Fri, 20 Feb 2026 00:00:00 GMT</pubDate></item><item><title>Gemini 3.1 Pro Release — Performance Analysis and Claude Comparison</title><link>https://jangwook.net/en/blog/en/gemini-31-pro-release/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/gemini-31-pro-release/</guid><description>Google releases Gemini 3.1 Pro with 77.1% on ARC-AGI-2, doubling reasoning performance. We analyze benchmarks, compare with Claude, and explore multimodal evolution.</description><pubDate>Fri, 20 Feb 2026 00:00:00 GMT</pubDate></item><item><title>IQ*_K/IQ*_KS Quantization Merged into llama.cpp — ik_llama.cpp Contributions Go Mainline</title><link>https://jangwook.net/en/blog/en/llama-cpp-iq-quantization-merge/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/llama-cpp-iq-quantization-merge/</guid><description>IQ-series quantization methods developed in ik_llama.cpp are being merged into llama.cpp mainline. Learn about IQ2_K through IQ4_KS precision improvements and local LLM inference optimization.</description><pubDate>Fri, 20 Feb 2026 00:00:00 GMT</pubDate></item><item><title>Qwen3 Coder Next llama.cpp Graph Optimization — Up to 38% Inference Speedup</title><link>https://jangwook.net/en/blog/en/qwen3-coder-next-llama-cpp-graph-optimization/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/qwen3-coder-next-llama-cpp-graph-optimization/</guid><description>ggerganov restructures the llama.cpp compute graph to achieve up to 38% inference speedup for the Qwen3 Coder Next 80B model. Detailed benchmark analysis and technical breakdown.</description><pubDate>Fri, 20 Feb 2026 00:00:00 GMT</pubDate></item><item><title>DDR5 RDIMM vs RTX 3090 — The Cost-per-GB Tipping Point for Local LLMs</title><link>https://jangwook.net/en/blog/en/ddr5-rdimm-vs-rtx3090-local-llm/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/ddr5-rdimm-vs-rtx3090-local-llm/</guid><description>DDR5 RDIMM pricing has dropped below RTX 3090 VRAM per GB, marking a turning point in local LLM hardware decisions. We analyze CPU vs GPU inference cost structures.</description><pubDate>Thu, 19 Feb 2026 00:00:00 GMT</pubDate></item><item><title>Devstral Small 2 24B &amp; Qwen3 Coder 30B — The Small Coding Model Era Begins</title><link>https://jangwook.net/en/blog/en/devstral-qwen3-coder-small-models/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/devstral-qwen3-coder-small-models/</guid><description>Mistral Devstral Small 2 24B and Qwen3 Coder 30B arrive simultaneously. A comparative analysis of small coding models that run on Raspberry Pi and the future of local AI coding.</description><pubDate>Thu, 19 Feb 2026 00:00:00 GMT</pubDate></item><item><title>Kitten TTS V0.8: The Sub-25MB TTS Model Achieving SOTA Quality for Edge Devices</title><link>https://jangwook.net/en/blog/en/kitten-tts-v08-tiny-sota/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/kitten-tts-v08-tiny-sota/</guid><description>A deep dive into Kitten TTS V0.8 — a 14M parameter, sub-25MB text-to-speech model matching cloud TTS quality. Analysis of edge deployment potential and the local voice AI trend.</description><pubDate>Thu, 19 Feb 2026 00:00:00 GMT</pubDate></item><item><title>$30 Radio + Local AI = Internet-Free Smart Home — A Practical Edge AI Case Study</title><link>https://jangwook.net/en/blog/en/local-ai-radio-smart-home/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/local-ai-radio-smart-home/</guid><description>Analyzing a real-world project that achieves voice control and smart home automation without internet using just a Mac mini and a $30 LoRa radio. A deep dive into local AI × IoT implementation and costs.</description><pubDate>Thu, 19 Feb 2026 00:00:00 GMT</pubDate></item><item><title>BarraCUDA: Open-Source Compiler That Runs CUDA Code on AMD GPUs</title><link>https://jangwook.net/en/blog/en/barracuda-cuda-amd-compiler/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/barracuda-cuda-amd-compiler/</guid><description>Explore BarraCUDA, an open-source compiler that compiles CUDA .cu files directly to AMD GPU machine code without LLVM, challenging NVIDIA&apos;s GPU computing monopoly.</description><pubDate>Wed, 18 Feb 2026 00:00:00 GMT</pubDate></item><item><title>Claude Sonnet 4.6 Release: Anthropic&apos;s Mid-Tier Model Strategy and Performance Analysis</title><link>https://jangwook.net/en/blog/en/claude-sonnet-46-release/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/claude-sonnet-46-release/</guid><description>A comprehensive analysis of Claude Sonnet 4.6&apos;s updates, model versioning strategy, performance benchmarks, and cost efficiency.</description><pubDate>Wed, 18 Feb 2026 00:00:00 GMT</pubDate></item><item><title>DeepSeek V4 Release Imminent — China&apos;s Next-Gen AI Model Race Accelerates</title><link>https://jangwook.net/en/blog/en/deepseek-v4-release/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/deepseek-v4-release/</guid><description>As DeepSeek V4&apos;s release draws near, Chinese AI companies continue their model rush with Qwen3.5 and GLM-5. We analyze performance comparisons and the open model competition landscape.</description><pubDate>Wed, 18 Feb 2026 00:00:00 GMT</pubDate></item><item><title>KaniTTS2 — Open-Source 400M TTS Model with Voice Cloning on Just 3GB VRAM</title><link>https://jangwook.net/en/blog/en/kanitts2-voice-cloning/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/kanitts2-voice-cloning/</guid><description>KaniTTS2, a lightweight 400M-parameter TTS model, has been open-sourced with voice cloning capabilities requiring only 3GB VRAM. With full pretraining code released, it marks a milestone in voice AI democratization.</description><pubDate>Wed, 18 Feb 2026 00:00:00 GMT</pubDate></item><item><title>Training an LLM on CPU in 1.2 Hours — The Promise of MatMul-Free Architecture</title><link>https://jangwook.net/en/blog/en/matmulfree-cpu-llm-training/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/matmulfree-cpu-llm-training/</guid><description>Explore how MatMul-Free architecture with ternary weights enables language model training on CPU alone, and its implications for edge AI and low-cost learning.</description><pubDate>Wed, 18 Feb 2026 00:00:00 GMT</pubDate></item><item><title>Does AGENTS.md Actually Work? The First Empirical Study Reveals Surprising Results</title><link>https://jangwook.net/en/blog/en/agents-md-effectiveness/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/agents-md-effectiveness/</guid><description>The first empirical study evaluating AGENTS.md effectiveness has been published. We analyze its impact on coding agent success rates and inference costs.</description><pubDate>Tue, 17 Feb 2026 00:00:00 GMT</pubDate></item><item><title>AI Self-Generated Skills Are Useless — Research Debunking the LLM Self-Improvement Myth</title><link>https://jangwook.net/en/blog/en/ai-self-generated-skills-myth/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/ai-self-generated-skills-myth/</guid><description>SkillsBench proves AI agents cannot author useful skills for themselves. Across 7,308 trajectories, self-generated skills showed zero benefit while human-curated skills improved performance by 16.2pp.</description><pubDate>Tue, 17 Feb 2026 00:00:00 GMT</pubDate></item><item><title>FunctionGemma 270M — Achieving 90-97% Multi-Turn Tool Calling Accuracy with an Ultra-Small Model</title><link>https://jangwook.net/en/blog/en/functiongemma-270m-tool-calling/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/functiongemma-270m-tool-calling/</guid><description>Analysis of how fine-tuning FunctionGemma 270M improved multi-turn tool calling accuracy from 10-39% to 90-97%, matching a 120B teacher model. More evidence that scaling isn&apos;t everything.</description><pubDate>Tue, 17 Feb 2026 00:00:00 GMT</pubDate></item><item><title>4 of OpenRouter&apos;s Top 5 Models Are Open Source — The End of Proprietary Dominance</title><link>https://jangwook.net/en/blog/en/openrouter-oss-dominance/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/openrouter-oss-dominance/</guid><description>Four of the top five most-used models on OpenRouter are open source (Qwen3-Coder, DeepSeek R2, MiniMax M2.5, etc.). We analyze the end of proprietary model dominance and why open-source models are winning in real-world usage.</description><pubDate>Tue, 17 Feb 2026 00:00:00 GMT</pubDate></item><item><title>Qwen 3.5 Goes Bankrupt on Vending-Bench 2: The Pitfall of Benchmark Obsession</title><link>https://jangwook.net/en/blog/en/qwen35-vending-bench-bankruptcy/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/qwen35-vending-bench-bankruptcy/</guid><description>Qwen 3.5, a top performer on standard benchmarks, goes bankrupt on Vending-Bench 2&apos;s vending machine simulation. Exploring the blind spots of benchmark-driven AI evaluation.</description><pubDate>Tue, 17 Feb 2026 00:00:00 GMT</pubDate></item><item><title>Claude Code with Local Models Triggers Full Prompt Reprocessing — An Architecture Inefficiency</title><link>https://jangwook.net/en/blog/en/claude-code-local-model-inefficiency/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/claude-code-local-model-inefficiency/</guid><description>Analyzing the full prompt reprocessing issue when running Claude Code with local LLMs. Learn about KV cache invalidation mechanics and developer tool design lessons.</description><pubDate>Mon, 16 Feb 2026 00:00:00 GMT</pubDate></item><item><title>Heretic 1.2: 70% VRAM Reduction via Quantization and MPOA Explained</title><link>https://jangwook.net/en/blog/en/heretic-12-vram-reduction/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/heretic-12-vram-reduction/</guid><description>Heretic 1.2 is here with 4-bit quantization cutting VRAM usage by up to 70% and MPOA delivering higher-quality abliteration. A deep dive into the latest cost-saving techniques for local LLM operations.</description><pubDate>Mon, 16 Feb 2026 00:00:00 GMT</pubDate></item><item><title>Karpathy: AI Training Costs Drop 40% Per Year — How Deflation Is Reshaping the Industry</title><link>https://jangwook.net/en/blog/en/karpathy-ai-training-cost-deflation/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/karpathy-ai-training-cost-deflation/</guid><description>Karpathy&apos;s analysis reveals AI model training costs fall 40% annually. We examine the structural factors — hardware evolution, algorithm efficiency, and data pipeline optimization — and their industry impact.</description><pubDate>Mon, 16 Feb 2026 00:00:00 GMT</pubDate></item><item><title>How to Run Qwen3-Coder-Next 80B on 8GB VRAM — Quantization Techniques Explained</title><link>https://jangwook.net/en/blog/en/qwen3-coder-8gb-vram/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/qwen3-coder-8gb-vram/</guid><description>Analyzing quantization and lazy loading techniques to run an 80B parameter coding AI model on consumer 8GB VRAM GPUs. Exploring the practicality and limitations of local LLM coding.</description><pubDate>Mon, 16 Feb 2026 00:00:00 GMT</pubDate></item><item><title>Building SQLite with an AI Swarm — The Reality of Multi-Agent Division of Labor</title><link>https://jangwook.net/en/blog/en/sqlite-ai-swarm-build/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/sqlite-ai-swarm-build/</guid><description>Six AI agents (Claude, Codex, Gemini) built a 19,000-line Rust SQLite clone in parallel. Analyzing the real costs of multi-agent coordination and task division.</description><pubDate>Mon, 16 Feb 2026 00:00:00 GMT</pubDate></item><item><title>GPT-OSS 120B Uncensored — The Rise of Uncensored Open-Source LLMs and the AI Safety Debate</title><link>https://jangwook.net/en/blog/en/gpt-oss-120b-uncensored/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/gpt-oss-120b-uncensored/</guid><description>Analyzing the technical features of GPT-OSS 120B Uncensored and the safety guardrail debate sparked by uncensored open-source LLMs from both technical and ethical perspectives.</description><pubDate>Sun, 15 Feb 2026 00:00:00 GMT</pubDate></item><item><title>IBM Triples Entry-Level Hiring After Finding the Limits of AI Replacement</title><link>https://jangwook.net/en/blog/en/ibm-gen-z-hiring-ai-limits/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/ibm-gen-z-hiring-ai-limits/</guid><description>IBM is tripling Gen Z entry-level hiring after realizing AI&apos;s limits. An EM&apos;s analysis of AI replacement reality, enterprise workforce planning, and organizational design shifts.</description><pubDate>Sun, 15 Feb 2026 00:00:00 GMT</pubDate></item><item><title>MiniMax M2.5: The Performance Gap Between Open-Weight and Proprietary Models Hits an All-Time Low</title><link>https://jangwook.net/en/blog/en/minimax-m25-open-weight-vs-proprietary/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/minimax-m25-open-weight-vs-proprietary/</guid><description>MiniMax M2.5 achieves 80.2% on SWE-Bench Verified, surpassing Claude Opus 4.6. We analyze how the performance gap between open-weight and proprietary models is rapidly closing, with comprehensive benchmark data.</description><pubDate>Sun, 15 Feb 2026 00:00:00 GMT</pubDate></item><item><title>NVIDIA DGX Spark CUDA Compatibility Issues — The Reality of Personal AI Workstations</title><link>https://jangwook.net/en/blog/en/nvidia-dgx-spark-cuda-compatibility/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/nvidia-dgx-spark-cuda-compatibility/</guid><description>A technical analysis of NVIDIA DGX Spark&apos;s sm121 architecture CUDA software compatibility problems and suspected handheld gaming chip repurposing.</description><pubDate>Sun, 15 Feb 2026 00:00:00 GMT</pubDate></item><item><title>NVIDIA&apos;s NVFP4 Cuts LLM Inference Costs by 8x — While Maintaining Accuracy</title><link>https://jangwook.net/en/blog/en/nvidia-llm-inference-cost-reduction/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/nvidia-llm-inference-cost-reduction/</guid><description>How NVIDIA&apos;s NVFP4 quantization technology reduces LLM inference costs to 1/8 while preserving accuracy. We analyze the cost structure transformation from FP32 to FP4 with real-world benchmarks.</description><pubDate>Sun, 15 Feb 2026 00:00:00 GMT</pubDate></item><item><title>GPT-5.2 Derives New Result in Theoretical Physics — The Turning Point Where AI Becomes a Discoverer</title><link>https://jangwook.net/en/blog/en/gpt52-theoretical-physics-discovery/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/gpt52-theoretical-physics-discovery/</guid><description>OpenAI&apos;s GPT-5.2 derived and proved a new formula for gluon scattering amplitudes. We analyze this historic turning point where AI transitions from tool to scientific discoverer.</description><pubDate>Sat, 14 Feb 2026 00:00:00 GMT</pubDate></item><item><title>Prompt Injection Found in ICML Papers — Exposing AI Peer Review Vulnerabilities</title><link>https://jangwook.net/en/blog/en/icml-prompt-injection-academic-review/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/icml-prompt-injection-academic-review/</guid><description>Prompt injection text was discovered embedded in ICML submission PDFs. We analyze the security risks of AI-dependent academic peer review systems.</description><pubDate>Sat, 14 Feb 2026 00:00:00 GMT</pubDate></item><item><title>The Truth Behind Moltbook&apos;s &quot;AI Society&quot; — Forbes/MIT Tech Review Exposé and the AI Theater Problem</title><link>https://jangwook.net/en/blog/en/moltbook-ai-theater-human-control/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/moltbook-ai-theater-human-control/</guid><description>Moltbook&apos;s AI autonomous society was revealed to be controlled by human operators. We analyze the AI Theater phenomenon and its implications for engineering leaders.</description><pubDate>Sat, 14 Feb 2026 00:00:00 GMT</pubDate></item><item><title>Fixing OpenClaw Dev Update Error: unknown command &apos;doctor&apos;</title><link>https://jangwook.net/en/blog/en/openclaw-update-doctor-error-fix/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/openclaw-update-doctor-error-fix/</guid><description>How to fix the error: unknown command &apos;doctor&apos; error when running openclaw update on the dev version. A step-by-step troubleshooting guide with 3 approaches tried.</description><pubDate>Sat, 14 Feb 2026 00:00:00 GMT</pubDate></item><item><title>GPT-4o Retirement and Model Dependency Risk: Claude Overtakes in Enterprise Market</title><link>https://jangwook.net/en/blog/en/gpt4o-retirement-model-dependency-risk/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/gpt4o-retirement-model-dependency-risk/</guid><description>GPT-4o retires in February 2026. We analyze model dependency risks, how Claude overtook OpenAI in enterprise market share, and why multi-model strategy is essential.</description><pubDate>Fri, 13 Feb 2026 00:00:00 GMT</pubDate></item><item><title>MIT SOAR: How LLMs Generate Their Own Curriculum to Break Through Reasoning Plateaus</title><link>https://jangwook.net/en/blog/en/mit-soar-self-curriculum-reasoning/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/mit-soar-self-curriculum-reasoning/</guid><description>MIT&apos;s SOAR framework enables LLMs to self-generate training curricula, solving the learning plateau problem in reinforcement learning. Explore the core principles of this meta-RL self-improvement approach and its experimental results.</description><pubDate>Fri, 13 Feb 2026 00:00:00 GMT</pubDate></item><item><title>OpenAI Atlas and the AI App Hub Thesis — Is the Browser Being Demoted?</title><link>https://jangwook.net/en/blog/en/openai-atlas-ai-app-hub/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/openai-atlas-ai-app-hub/</guid><description>Analyzing OpenAI Atlas, the unified AI app hub in development, and what it means for the future of web browsers. Will AI-native platforms replace the browser?</description><pubDate>Fri, 13 Feb 2026 00:00:00 GMT</pubDate></item><item><title>WebMCP: Chrome 146 Turns Your Browser into an AI Agent Tool Server</title><link>https://jangwook.net/en/blog/en/webmcp-chrome-146-ai-tool-server/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/webmcp-chrome-146-ai-tool-server/</guid><description>Chrome 146 embeds MCP server capabilities directly into the browser. Learn how WebMCP works, how AI agents interact with it, and what it means for web development.</description><pubDate>Fri, 13 Feb 2026 00:00:00 GMT</pubDate></item><item><title>Windsurf Arena Mode Results — Developers Prefer Speed Over Accuracy</title><link>https://jangwook.net/en/blog/en/windsurf-arena-mode-speed-over-accuracy/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/windsurf-arena-mode-speed-over-accuracy/</guid><description>Windsurf&apos;s Arena Mode voting with over 40,000 votes reveals developers prioritize speed over accuracy. We analyze what this means for the future of AI coding tools.</description><pubDate>Fri, 13 Feb 2026 00:00:00 GMT</pubDate></item><item><title>Multi-Agent Parallel Execution Outperforms Single Models on SWE-bench — Verdent AI 76.1%</title><link>https://jangwook.net/en/blog/en/multi-agent-swe-bench-verdent/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/multi-agent-swe-bench-verdent/</guid><description>Verdent AI achieves 76.1% on SWE-bench Verified using multi-agent parallel execution architecture, not a single large model. A new paradigm for software engineering automation.</description><pubDate>Thu, 12 Feb 2026 00:00:00 GMT</pubDate></item><item><title>How LLMs Are Disrupting Patent Strategy — Mark Cuban&apos;s Warning on Patents as AI Training Data</title><link>https://jangwook.net/en/blog/en/patent-strategy-llm-era/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/patent-strategy-llm-era/</guid><description>Mark Cuban warns that published patents become LLM training material. As AI absorbs patent knowledge at scale, how should companies rethink their intellectual property strategies?</description><pubDate>Thu, 12 Feb 2026 00:00:00 GMT</pubDate></item><item><title>Implementing RLM (Recursive Language Models) in Coding Agents — Breaking Single Model Limits</title><link>https://jangwook.net/en/blog/en/rlm-recursive-language-model-coding-agent/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/rlm-recursive-language-model-coding-agent/</guid><description>Analyzing a real implementation of MIT&apos;s RLM paper in coding agents. Learn how recursive self-invocation overcomes context limits and boosts single model performance by 91% from an engineering perspective.</description><pubDate>Thu, 12 Feb 2026 00:00:00 GMT</pubDate></item><item><title>AI Agent KPI Pressure and Ethics Violations — What 12-Model Testing Reveals About Goal-Driven AI</title><link>https://jangwook.net/en/blog/en/ai-agent-kpi-ethics/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/ai-agent-kpi-ethics/</guid><description>Analyzing research showing LLM agents violate ethics 30-50% of the time under KPI pressure, and discussing governance design for AI agents from an EM perspective.</description><pubDate>Wed, 11 Feb 2026 00:00:00 GMT</pubDate></item><item><title>The February 2026 AI Model Rush: 7 Major Models Launching in a Single Month</title><link>https://jangwook.net/en/blog/en/ai-model-rush-february-2026/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/ai-model-rush-february-2026/</guid><description>Gemini 3 Pro GA, Sonnet 5, GPT-5.3, Qwen 3.5, GLM 5, Deepseek v4, and Grok 4.20 are all scheduled for February 2026. An analysis of the largest AI model rush in history.</description><pubDate>Wed, 11 Feb 2026 00:00:00 GMT</pubDate></item><item><title>DeNA&apos;s Perl-to-Go Migration: Two AI Agent Types Cut 6 Months Down to 1 Month</title><link>https://jangwook.net/en/blog/en/dena-perl-go-migration-ai-agents/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/dena-perl-go-migration-ai-agents/</guid><description>How DeNA migrated 6,000 lines of Perl to Go using two specialized AI agents — one for conversion, one for verification — completing a 6-month project in just 1 month.</description><pubDate>Wed, 11 Feb 2026 00:00:00 GMT</pubDate></item><item><title>GPT-5.3 Codex Rollout Pause — GitHub/VSCode Platform Reliability Analysis</title><link>https://jangwook.net/en/blog/en/gpt53-codex-rollout-pause/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/gpt53-codex-rollout-pause/</guid><description>Analyzing GitHub&apos;s temporary rollback of GPT-5.3-based Codex. Explores platform reliability, AI model upgrade risks, and countermeasures from an EM perspective.</description><pubDate>Wed, 11 Feb 2026 00:00:00 GMT</pubDate></item><item><title>AI Transformation in Accounting Firms — Invoice Processing Cost from $7 to $0.20</title><link>https://jangwook.net/en/blog/en/accounting-ai-transformation-real-data/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/accounting-ai-transformation-real-data/</guid><description>Analyzing 6 months of real data from an accounting firm&apos;s AI agent deployment. Behind the 97% cost reduction and 80%→98% accuracy improvement lies a realistic journey of adoption challenges and organizational transformation.</description><pubDate>Tue, 10 Feb 2026 00:00:00 GMT</pubDate></item><item><title>Meta&apos;s AI Agent Platform Transformation — Sierra, Avocado, and Big Brain</title><link>https://jangwook.net/en/blog/en/meta-ai-agent-platform-sierra-avocado/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/meta-ai-agent-platform-sierra-avocado/</guid><description>Meta is evolving into an AI agent platform. We analyze the Sierra partnership, Avocado model, and Big Brain reasoning engine at the core of this transformation.</description><pubDate>Tue, 10 Feb 2026 00:00:00 GMT</pubDate></item><item><title>Software Factory — A Development Process Where Humans Write Zero Code</title><link>https://jangwook.net/en/blog/en/software-factory-zero-code-development/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/software-factory-zero-code-development/</guid><description>The factory model where humans neither write nor review code is becoming reality. We analyze scenario-based probabilistic testing, $1,000/day compute costs, and the fundamental transformation of the EM role.</description><pubDate>Tue, 10 Feb 2026 00:00:00 GMT</pubDate></item><item><title>AI Agent Cost vs Human Labor: A Honest Analysis from Running 8 Agents</title><link>https://jangwook.net/en/blog/en/ai-agent-cost-reality/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/ai-agent-cost-reality/</guid><description>AI agent autonomous moderation can cost more than human moderators. A data-driven cost structure analysis from someone actually running 8 AI agents in production.</description><pubDate>Mon, 09 Feb 2026 00:00:00 GMT</pubDate></item><item><title>CCC vs GCC — How Good Is an AI-Written C Compiler, Really?</title><link>https://jangwook.net/en/blog/en/ccc-vs-gcc-ai-compiled-c-compiler/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/ccc-vs-gcc-ai-compiled-c-compiler/</guid><description>Claude Opus 4.6 auto-generated a Rust-based C compiler with 16 parallel agents. It builds the Linux kernel, but how does it stack up against GCC? Analyzing the 80% quality at lightning speed paradigm.</description><pubDate>Mon, 09 Feb 2026 00:00:00 GMT</pubDate></item><item><title>Multi-Agent Orchestration — The Essence of Routing Design</title><link>https://jangwook.net/en/blog/en/multi-agent-orchestration-routing/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/multi-agent-orchestration-routing/</guid><description>When running multiple AI agents like Claude and Codex, task routing is the hardest challenge — and it mirrors delegation in engineering management.</description><pubDate>Mon, 09 Feb 2026 00:00:00 GMT</pubDate></item><item><title>E2E Test Automation with OpenClaw: A Practical Guide</title><link>https://jangwook.net/en/blog/en/openclaw-e2e-test-automation-guide/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/openclaw-e2e-test-automation-guide/</guid><description>A hands-on guide to building natural-language E2E tests using OpenClaw&apos;s browser automation, node device management, cron scheduling, and multi-agent orchestration.</description><pubDate>Sun, 08 Feb 2026 00:00:00 GMT</pubDate></item><item><title>Overcoming AdSense &quot;Low Value Content&quot; Rejection: A Technical Audit Guide</title><link>https://jangwook.net/en/blog/en/adsense-low-value-content-technical-fix/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/adsense-low-value-content-technical-fix/</guid><description>A hands-on guide to diagnosing and fixing the technical issues behind AdSense rejections on a multilingual Astro blog—ads.txt conflicts, 996 ghost pages, and sitewide sitemap 404s.</description><pubDate>Sat, 07 Feb 2026 00:00:00 GMT</pubDate></item><item><title>The Complete Guide to Claude Code Agent Teams — Building and Running Agent Teams with OpenClaw</title><link>https://jangwook.net/en/blog/en/claude-agent-teams-guide/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/claude-agent-teams-guide/</guid><description>A hands-on guide to enabling Claude Code&apos;s Agent Teams in an OpenClaw environment, configuring 5 specialized teams, and running them in production.</description><pubDate>Sat, 07 Feb 2026 00:00:00 GMT</pubDate></item><item><title>The Complete AI Image Prompt Guide Built from 300 Design Evaluations</title><link>https://jangwook.net/en/blog/en/banana-x-image-prompt-guide/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/banana-x-image-prompt-guide/</guid><description>A systematic YAML 7-Part Structure for AI image prompts, derived from analyzing 300+ infographic design evaluations in Banana X. Includes high-scoring patterns and domain-specific templates.</description><pubDate>Fri, 06 Feb 2026 00:00:00 GMT</pubDate></item><item><title>[URGENT] OpenClaw Cron Job Fix Guide (dev channel v2026.2.4)</title><link>https://jangwook.net/en/blog/en/openclaw-cron-fix-guide/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/openclaw-cron-fix-guide/</guid><description>Emergency guide to fix OpenClaw stable/beta (2026.2.3-1) cron job execution failures and missing reminders.</description><pubDate>Fri, 06 Feb 2026 00:00:00 GMT</pubDate></item><item><title>URGENT: How to Set Up Claude Opus 4.6 on OpenClaw</title><link>https://jangwook.net/en/blog/en/openclaw-opus-4-6-setup-guide/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/openclaw-opus-4-6-setup-guide/</guid><description>Configure Claude Opus 4.6 on OpenClaw with copy-paste settings. Unlock 1M token context and 128K output for your AI assistant.</description><pubDate>Fri, 06 Feb 2026 00:00:00 GMT</pubDate></item><item><title>Claude Code /insights Review: What 4,516 Messages Reveal About My AI Coding Patterns</title><link>https://jangwook.net/en/blog/en/claude-code-insights-usage-analysis/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/claude-code-insights-usage-analysis/</guid><description>I analyzed my real project usage patterns with Claude Code /insights. Discover what 1,042 sessions and 6,267 file modifications reveal about effective AI coding workflows and practical improvements.</description><pubDate>Thu, 05 Feb 2026 00:00:00 GMT</pubDate></item><item><title>Supercharge OpenClaw — 8 Advanced Real-World Use Cases</title><link>https://jangwook.net/en/blog/en/openclaw-advanced-usage/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/openclaw-advanced-usage/</guid><description>Cron automation, webhook integration, MCP servers, multi-agent systems, browser automation, and more — 8 production-level OpenClaw use cases.</description><pubDate>Thu, 05 Feb 2026 00:00:00 GMT</pubDate></item><item><title>OpenClaw Installation to First Conversation — Complete Tutorial</title><link>https://jangwook.net/en/blog/en/openclaw-installation-tutorial/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/openclaw-installation-tutorial/</guid><description>Step-by-step guide to installing OpenClaw, connecting Telegram, and having your first AI conversation. From Node.js setup to workspace configuration.</description><pubDate>Wed, 04 Feb 2026 00:00:00 GMT</pubDate></item><item><title>The Complete Guide to OpenClaw — Build Your Own AI Assistant</title><link>https://jangwook.net/en/blog/en/openclaw-introduction-guide/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/openclaw-introduction-guide/</guid><description>Discover OpenClaw, the open-source AI assistant platform. Multi-channel, multi-model, node system, and more — your complete guide to self-hosted AI.</description><pubDate>Tue, 03 Feb 2026 00:00:00 GMT</pubDate></item><item><title>Integrating AdMob Rewarded Ads in Tauri 2.x iOS Apps: Swift Plugin Development Guide</title><link>https://jangwook.net/en/blog/en/tauri-ios-admob-rewarded-ads/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/tauri-ios-admob-rewarded-ads/</guid><description>A complete guide to integrating Google AdMob rewarded ads into Tauri v2 iOS apps. Learn how to develop a custom Swift plugin since no official plugin exists.</description><pubDate>Fri, 30 Jan 2026 00:00:00 GMT</pubDate></item><item><title>iOS Game Development with Tauri + PixiJS: From Web Tech to App Store</title><link>https://jangwook.net/en/blog/en/tauri-pixijs-ios-game-development/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/tauri-pixijs-ios-game-development/</guid><description>A complete guide to developing iOS games using Tauri 2.x and PixiJS 8, from environment setup to App Store deployment, with real project code examples.</description><pubDate>Mon, 26 Jan 2026 00:00:00 GMT</pubDate></item><item><title>Tailwind CSS 75% Layoffs: The Crisis of Open Source Monetization in the AI Era</title><link>https://jangwook.net/en/blog/en/tailwind-layoffs-opensource-ai-crisis/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/tailwind-layoffs-opensource-ai-crisis/</guid><description>Analyzing how AI is destroying documentation-based revenue models through the Tailwind Labs layoffs, the worsening unpaid labor problem for open source contributors, and sustainable monetization strategies.</description><pubDate>Mon, 12 Jan 2026 00:00:00 GMT</pubDate></item><item><title>Complete Guide to Claude Code Plugins: From Official Plugins to Community Marketplaces</title><link>https://jangwook.net/en/blog/en/claude-code-plugins-complete-guide/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/claude-code-plugins-complete-guide/</guid><description>A deep dive into the Claude Code plugin system. Explore 13 official plugins in detail, 100+ community marketplace plugins, actual plugin.json structure and installation methods with practical examples.</description><pubDate>Sun, 11 Jan 2026 00:00:00 GMT</pubDate></item><item><title>Anthropic Agent Skills Practical Guide: From Implementation to ROI</title><link>https://jangwook.net/en/blog/en/anthropic-agent-skills-practical-guide/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/anthropic-agent-skills-practical-guide/</guid><description>Learn practical applications of Anthropic Agent Skills through tutorials and code examples, analyze ROI for business value, and maximize AI agent efficiency.</description><pubDate>Fri, 26 Dec 2025 00:00:00 GMT</pubDate></item><item><title>Anthropic Agent Skills Standard: A New Open Standard for Expanding AI Agent Capabilities</title><link>https://jangwook.net/en/blog/en/anthropic-agent-skills-standard/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/anthropic-agent-skills-standard/</guid><description>Anthropic&apos;s Agent Skills standard provides a universal method for AI agents to acquire and utilize new capabilities, fostering innovation and accelerating AI development across the industry.</description><pubDate>Thu, 25 Dec 2025 00:00:00 GMT</pubDate></item><item><title>jangwook.net Monthly Growth Report (December): 2,600 Visitors, Organic Search at 57%</title><link>https://jangwook.net/en/blog/en/monthly-analytics-2025-12/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/monthly-analytics-2025-12/</guid><description>75 days post-launch GA4 analysis - 85 daily visitors, 56.5% organic search, Google Code Wiki Guide as new top performer, China market surge</description><pubDate>Wed, 24 Dec 2025 00:00:00 GMT</pubDate></item><item><title>Greptile AI Coding Report 2025 Review: Has AI Really Improved Productivity?</title><link>https://jangwook.net/en/blog/en/greptile-ai-coding-report-2025-review/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/greptile-ai-coding-report-2025-review/</guid><description>Analyzing Greptile&apos;s State of AI Coding 2025 report and examining the real productivity changes AI has brought to development, combined with personal experience.</description><pubDate>Fri, 19 Dec 2025 00:00:00 GMT</pubDate></item><item><title>UX Psychology-Based Frontend Improvements: A Practical Case Study</title><link>https://jangwook.net/en/blog/en/ux-psychology-implementation-case-study/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/ux-psychology-implementation-case-study/</guid><description>A detailed look at implementing UX psychology principles including BlogCard reading time, card hover effects, Back to Top button, and reading progress bar with code examples.</description><pubDate>Sun, 14 Dec 2025 00:00:00 GMT</pubDate></item><item><title>Enhancing Frontend Design Skills with UX Psychology</title><link>https://jangwook.net/en/blog/en/ux-psychology-frontend-design-skill/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/ux-psychology-frontend-design-skill/</guid><description>Learn how to integrate 40 UX psychology concepts and 30 Laws of UX into Claude Code frontend-design skill to create beautiful and effective interfaces.</description><pubDate>Sat, 13 Dec 2025 00:00:00 GMT</pubDate></item><item><title>DeNA LLM Study Part 5: Agent Design and Multi-Agent Orchestration</title><link>https://jangwook.net/en/blog/en/dena-llm-study-part5-agent-design/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/dena-llm-study-part5-agent-design/</guid><description>DeNA LLM Study Series finale. Practical guide to n8n workflows, agent design principles, multi-agent orchestration patterns, and memory management strategies.</description><pubDate>Fri, 12 Dec 2025 00:00:00 GMT</pubDate></item><item><title>DeNA LLM Study Part 4: RAG Architecture and Latest Trends</title><link>https://jangwook.net/en/blog/en/dena-llm-study-part4-rag/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/dena-llm-study-part4-rag/</guid><description>Exploring RAG from core concepts to GraphRAG and Agentic RAG through DeNA LLM Study Series Part 4, covering cutting-edge retrieval-augmented generation techniques.</description><pubDate>Thu, 11 Dec 2025 00:00:00 GMT</pubDate></item><item><title>DeNA LLM Study Part 3: Model Training Methodologies - From Pre-training to RLHF/DPO</title><link>https://jangwook.net/en/blog/en/dena-llm-study-part3-model-training/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/dena-llm-study-part3-model-training/</guid><description>Deep dive into pre-training, fine-tuning, and reinforcement learning based on DeNA LLM study materials Part 3, exploring efficient techniques like LoRA, QLoRA, and DPO.</description><pubDate>Wed, 10 Dec 2025 00:00:00 GMT</pubDate></item><item><title>DeNA LLM Study Part 2: Structured Output and Multi-LLM Composition Patterns</title><link>https://jangwook.net/en/blog/en/dena-llm-study-part2-structured-output/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/dena-llm-study-part2-structured-output/</guid><description>From structured outputs using JSON Schema and Pydantic to practical Multi-LLM pipeline design patterns like Sequential, Parallel, and Cascade for production applications</description><pubDate>Tue, 09 Dec 2025 00:00:00 GMT</pubDate></item><item><title>DeNA LLM Study Part 1: LLM Fundamentals and 2025 AI Landscape</title><link>https://jangwook.net/en/blog/en/dena-llm-study-part1-fundamentals/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/dena-llm-study-part1-fundamentals/</guid><description>DeNA LLM Study series begins. Comparing GPT-4, Claude, and Gemini, covering Next Token Prediction, Instruction Tuning, Reasoning models, and prompt engineering basics.</description><pubDate>Mon, 08 Dec 2025 00:00:00 GMT</pubDate></item><item><title>Agent Effi Flow Strategic Pivot: Launching OmotenashiBot for the Japanese Inbound Market</title><link>https://jangwook.net/en/blog/en/agent-effi-flow-pivot-omotenashi-bot/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/agent-effi-flow-pivot-omotenashi-bot/</guid><description>A strategic transition from AI efficiency tools to the Japanese inbound tourism market. Sharing market analysis and the OmotenashiBot service development journey of a solo developer finding blue ocean opportunities.</description><pubDate>Sun, 07 Dec 2025 00:00:00 GMT</pubDate></item><item><title>반복적 리뷰 사이클 방법론: 복잡한 개발에서 에러를 최소화하는 멀티 에이전트 오케스트레이션</title><link>https://jangwook.net/en/blog/en/iterative-review-cycle-methodology/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/iterative-review-cycle-methodology/</guid><description>오케스트레이션 에이전트 중심의 반복적 리뷰 사이클을 통해 복잡한 개발 작업의 에러율을 40-90% 감소시키는 체계적 방법론을 소개합니다.</description><pubDate>Sat, 06 Dec 2025 00:00:00 GMT</pubDate></item><item><title>AEO Implementation for the AI Search Era: Agent Effi Flow Case Study</title><link>https://jangwook.net/en/blog/en/aeo-implementation-experience/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/aeo-implementation-experience/</guid><description>A practical guide to implementing AEO strategies for AI search engines like ChatGPT and Perplexity, with real-world implementation examples from a B2B SaaS platform.</description><pubDate>Fri, 05 Dec 2025 00:00:00 GMT</pubDate></item><item><title>Improving Blog Automation with Multi-Agent Orchestration</title><link>https://jangwook.net/en/blog/en/multi-agent-orchestration-improvement/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/multi-agent-orchestration-improvement/</guid><description>A comprehensive guide to analyzing 48 files and fixing 61 issues using Claude Codes multi-agent orchestration pattern for large-scale system improvements</description><pubDate>Thu, 04 Dec 2025 00:00:00 GMT</pubDate></item><item><title>AdSense Journey: Overcoming &quot;Low Value Content&quot; with AI-Powered Analysis</title><link>https://jangwook.net/en/blog/en/adsense-rejection-ai-analysis-improvement/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/adsense-rejection-ai-analysis-improvement/</guid><description>After Google AdSense rejected my site for &quot;Low Value Content&quot;, I used ChatGPT, Claude, and Gemini to analyze the issues and improved approval probability from 5.5 to 8.5 out of 10. Here is my experience.</description><pubDate>Wed, 03 Dec 2025 00:00:00 GMT</pubDate></item><item><title>What I Want to Tell Juniors in the Age of AI</title><link>https://jangwook.net/en/blog/en/ai-era-career-advice-for-juniors/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/ai-era-career-advice-for-juniors/</guid><description>Career advice from years of SMB experience. How domain knowledge and T-shaped growth can help you thrive in the AI era.</description><pubDate>Tue, 02 Dec 2025 00:00:00 GMT</pubDate></item><item><title>Why Top-Down AI Adoption Works: The Real Reason Behind the 42% Failure Rate</title><link>https://jangwook.net/en/blog/en/enterprise-ai-adoption-topdown/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/enterprise-ai-adoption-topdown/</guid><description>Limits of bottom-up AI adoption and organizational change management strategies. A systematic approach through workflow documentation and standardization.</description><pubDate>Mon, 01 Dec 2025 00:00:00 GMT</pubDate></item><item><title>Implementing Site Search with Vertex AI Search: Cloud Functions and Automated Deployment</title><link>https://jangwook.net/en/blog/en/vertex-ai-search-site-implementation/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/vertex-ai-search-site-implementation/</guid><description>Learn how to implement AI-powered search on your website using Google Vertex AI Search. This guide covers Cloud Functions API server setup to shell script automated deployment step by step.</description><pubDate>Sun, 30 Nov 2025 00:00:00 GMT</pubDate></item><item><title>Automated GCP Infrastructure Auditing with gcloud MCP</title><link>https://jangwook.net/en/blog/en/gcloud-mcp-infrastructure-audit/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/gcloud-mcp-infrastructure-audit/</guid><description>Learn how to automatically detect security vulnerabilities and configuration issues in GCP infrastructure using AI agents and gcloud MCP.</description><pubDate>Sat, 29 Nov 2025 00:00:00 GMT</pubDate></item><item><title>SEO/AEO in the LLM Era: B2B SaaS Optimization Roadmap</title><link>https://jangwook.net/en/blog/en/llm-seo-aeo-practical-implementation/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/llm-seo-aeo-practical-implementation/</guid><description>From SEO foundation to AEO strategy: real implementation case study with measurable results from the Agent Effi Flow project</description><pubDate>Fri, 28 Nov 2025 00:00:00 GMT</pubDate></item><item><title>Individual Developer&apos;s AI SaaS Journey: Production Launch in 3 Days</title><link>https://jangwook.net/en/blog/en/individual-developer-ai-saas-journey/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/individual-developer-ai-saas-journey/</guid><description>Real-world experience building a B2B AI OCR service with SvelteKit, Supabase, and Google Gemini API. Tech stack rationale, implementation details, and business strategy from a solo developer&apos;s perspective.</description><pubDate>Thu, 27 Nov 2025 00:00:00 GMT</pubDate></item><item><title>Building Serverless AI Batch Systems with Terraform</title><link>https://jangwook.net/en/blog/en/terraform-ai-batch-infrastructure/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/terraform-ai-batch-infrastructure/</guid><description>A practical guide to building cost-effective AI batch processing infrastructure using API Gateway, Lambda, and ECS Fargate</description><pubDate>Wed, 26 Nov 2025 00:00:00 GMT</pubDate></item><item><title>Automating Page E2E Testing with Claude Code</title><link>https://jangwook.net/en/blog/en/e2e-page-test-automation-claude-code/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/e2e-page-test-automation-claude-code/</guid><description>Build an automated page quality verification system for web publishers. Test 8 quality items with a single command and receive improvement suggestions.</description><pubDate>Tue, 25 Nov 2025 00:00:00 GMT</pubDate></item><item><title>Google Code Wiki: Complete Guide to AI-Powered Code Documentation</title><link>https://jangwook.net/en/blog/en/google-code-wiki-guide/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/google-code-wiki-guide/</guid><description>Explore Google Code Wiki features, usage guide, and Gemini-based automatic documentation system in detail.</description><pubDate>Mon, 24 Nov 2025 00:00:00 GMT</pubDate></item><item><title>Complete Guide to My MCP Server Toolkit</title><link>https://jangwook.net/en/blog/en/mcp-servers-toolkit-introduction/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/mcp-servers-toolkit-introduction/</guid><description>Maximize Claude Code productivity with 7 essential MCP servers. Learn Serena, Context7, Sequential Thinking setup and real-world usage patterns</description><pubDate>Sun, 23 Nov 2025 00:00:00 GMT</pubDate></item><item><title>Optimizing AI Agent Systems with the Deep Agents Paradigm</title><link>https://jangwook.net/en/blog/en/deep-agents-architecture-optimization/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/deep-agents-architecture-optimization/</guid><description>A practical guide to analyzing Deep Agents concepts from LangChain and Philipp Schmid and optimizing agent architecture</description><pubDate>Sat, 22 Nov 2025 00:00:00 GMT</pubDate></item><item><title>Claude Code CLI Migration Guide: Comparing Copilot, Gemini, and Codex</title><link>https://jangwook.net/en/blog/en/claude-code-cli-migration-guide/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/claude-code-cli-migration-guide/</guid><description>Learn how to migrate from Claude Code to GitHub Copilot CLI, Gemini CLI, or Codex CLI with practical guidance on choosing the right tool for your situation</description><pubDate>Fri, 21 Nov 2025 00:00:00 GMT</pubDate></item><item><title>jangwook.net 45-Day Growth Report: 7 Insights from 750 Visitors</title><link>https://jangwook.net/en/blog/en/45-day-analytics-report-2025-11/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/45-day-analytics-report-2025-11/</guid><description>Comprehensive GA4 analysis of blog&apos;s first 45 days - 44.3% organic search achieved, SEO optimization ROI proven, traffic spike investigation, 91% bounce rate crisis on English homepage</description><pubDate>Thu, 20 Nov 2025 00:00:00 GMT</pubDate></item><item><title>MCP Code Execution in Practice: Improving Claude Code Project Structure</title><link>https://jangwook.net/en/blog/en/mcp-code-execution-practical-implementation/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/mcp-code-execution-practical-implementation/</guid><description>Learn how to apply Anthropic&apos;s MCP Code Execution patterns to real projects with practical examples of directory structure improvements and security configurations.</description><pubDate>Wed, 19 Nov 2025 00:00:00 GMT</pubDate></item><item><title>Anthropic&apos;s Code Execution with MCP: A Paradigm Shift in AI Tool Integration</title><link>https://jangwook.net/en/blog/en/anthropic-code-execution-mcp/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/anthropic-code-execution-mcp/</guid><description>Explore how Anthropic&apos;s Code Execution with MCP achieves 98.7% token reduction and 60% faster execution through sandboxed code-based tool orchestration.</description><pubDate>Tue, 18 Nov 2025 00:00:00 GMT</pubDate></item><item><title>Adding Chinese Support to Your Blog: A Practical Guide to Multilingual Website Expansion</title><link>https://jangwook.net/en/blog/en/adding-chinese-support/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/adding-chinese-support/</guid><description>Experience report on adding Chinese support to 40 posts. Parallel agent processing to update 120 files, SEO optimization, automation strategies - everything about expanding an Astro multilingual blog</description><pubDate>Mon, 17 Nov 2025 00:00:00 GMT</pubDate></item><item><title>EffiFlow Part 3: Real-World Improvements in 38 Minutes - 99% Stability and 100% Completion</title><link>https://jangwook.net/en/blog/en/effiflow-automation-analysis-part3/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/effiflow-automation-analysis-part3/</guid><description>Practical implementation of Top 3 Quick Wins. Achieving 100% completion and 99% stability with 38 minutes of investment and ROI analysis</description><pubDate>Sun, 16 Nov 2025 00:00:00 GMT</pubDate></item><item><title>EffiFlow Part 2: Skills Auto-Discovery and 58% Token Reduction Caching</title><link>https://jangwook.net/en/blog/en/effiflow-automation-analysis-part2/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/effiflow-automation-analysis-part2/</guid><description>Skills auto-discovery mechanism and Commands integration. Achieving 58% token reduction through caching strategy</description><pubDate>Sat, 15 Nov 2025 00:00:00 GMT</pubDate></item><item><title>EffiFlow Analysis: 71% Cost Reduction with Metadata Architecture</title><link>https://jangwook.net/en/blog/en/effiflow-automation-analysis-part1/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/effiflow-automation-analysis-part1/</guid><description>Blog automation with 17 Agents and metadata-first architecture. Case study achieving 60-70% token reduction and full automation</description><pubDate>Fri, 14 Nov 2025 00:00:00 GMT</pubDate></item><item><title>Build a RAG System in 5 Minutes with Google Gemini File Search</title><link>https://jangwook.net/en/blog/en/google-gemini-file-search-rag-tutorial/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/google-gemini-file-search-rag-tutorial/</guid><description>A practical guide to building document search and Q&amp;A systems using Gemini File Search Tool announced in November 2025, without complex RAG pipelines. Dramatically reduce development time with fully-managed RAG.</description><pubDate>Thu, 13 Nov 2025 00:00:00 GMT</pubDate></item><item><title>Prompt Engineering Guide: 10x Performance Boost for AI Agents</title><link>https://jangwook.net/en/blog/en/prompt-engineering-agent-improvements/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/prompt-engineering-agent-improvements/</guid><description>Research-backed prompt engineering techniques applied to 17 Claude Code agents, with measurable results and practical implementation guide.</description><pubDate>Wed, 12 Nov 2025 00:00:00 GMT</pubDate></item><item><title>Automate Blog Publishing with n8n RSS Feed and AI Agents</title><link>https://jangwook.net/en/blog/en/n8n-rss-automation/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/n8n-rss-automation/</guid><description>Learn how to build a complete automation pipeline from blog publishing to social media with GitHub Actions, RSS feeds, and n8n workflows powered by AI.</description><pubDate>Tue, 11 Nov 2025 00:00:00 GMT</pubDate></item><item><title>Figma MCP to Web Components: Research-Based Design System Automation</title><link>https://jangwook.net/en/blog/en/figma-mcp-web-components-sync/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/figma-mcp-web-components-sync/</guid><description>Comprehensive guide on generating web components from Figma using MCP and implementing continuous design-to-code synchronization with vanilla JavaScript.</description><pubDate>Mon, 10 Nov 2025 00:00:00 GMT</pubDate></item><item><title>Applying Verbalized Sampling to Claude Code Agents: 1.6〜2.1x LLM Diversity Boost</title><link>https://jangwook.net/en/blog/en/claude-code-verbalized-sampling/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/claude-code-verbalized-sampling/</guid><description>A practical guide to applying Verbalized Sampling technique to Claude Code agents, achieving 2.0x prompt diversity, 1.8x content diversity, and 1.6x writing style diversity. Complete with 4 agent modification histories, parameter tuning, and cost analysis.</description><pubDate>Sun, 09 Nov 2025 00:00:00 GMT</pubDate></item><item><title>Verbalized Sampling: A Training-Free Prompting Technique to Restore LLM Diversity</title><link>https://jangwook.net/en/blog/en/verbalized-sampling-llm-diversity/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/verbalized-sampling-llm-diversity/</guid><description>Verbalized Sampling tackles mode collapse after alignment by prompting models to verbalize probability distributions, achieving 1.6-2.1x diversity gains without retraining</description><pubDate>Sat, 08 Nov 2025 00:00:00 GMT</pubDate></item><item><title>3-Week Analytics Report: 1266% Organic Search Explosion &amp; 20-Post Publishing Sprint</title><link>https://jangwook.net/en/blog/en/three-week-analytics-2025-11-04/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/three-week-analytics-2025-11-04/</guid><description>2025-10-15〜11-04 GA4 analysis, organic search leap from 4.3% to 54.4%, 20 new posts published, South Korea emerges as #1 country - transparently sharing blog growth journey</description><pubDate>Thu, 06 Nov 2025 00:00:00 GMT</pubDate></item><item><title>Data-Driven Product Decisions: Analytics Framework for PMs</title><link>https://jangwook.net/en/blog/en/data-driven-pm-framework/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/data-driven-pm-framework/</guid><description>Master data-driven product decisions using analytics frameworks, key metrics, and A/B testing best practices. Learn from top PMs at Netflix, Spotify, and Amazon.</description><pubDate>Wed, 05 Nov 2025 00:00:00 GMT</pubDate></item><item><title>Analyzing Team Communication with Slack MCP and AI Agents</title><link>https://jangwook.net/en/blog/en/slack-mcp-team-communication/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/slack-mcp-team-communication/</guid><description>Learn how to leverage Slack MCP for automated team communication analysis, sentiment tracking, and actionable insights using Claude AI and Model Context Protocol.</description><pubDate>Tue, 04 Nov 2025 00:00:00 GMT</pubDate></item><item><title>Building a Modern Project Management Stack: Notion, Backlog, Slack &amp; Claude</title><link>https://jangwook.net/en/blog/en/notion-backlog-slack-claude-project-management/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/notion-backlog-slack-claude-project-management/</guid><description>Learn how to standardize project management with Notion, Backlog, Slack, and Claude Code to boost team productivity by 50% and project success rates by 80%.</description><pubDate>Mon, 03 Nov 2025 00:00:00 GMT</pubDate></item><item><title>Recommendation System V3: 100% Build Performance Improvement with Frontmatter-Embedded Architecture</title><link>https://jangwook.net/en/blog/en/recommendation-system-v3/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/recommendation-system-v3/</guid><description>Removing the bloated recommendations.json and embedding recommendation data directly in frontmatter eliminates runtime file I/O by 100%. Here is our V3 system journey and results.</description><pubDate>Sun, 02 Nov 2025 00:00:00 GMT</pubDate></item><item><title>Streamlining Project Manager Workflows with LLMs: 3x Productivity Boost with AI</title><link>https://jangwook.net/en/blog/en/llm-pm-workflow-automation/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/llm-pm-workflow-automation/</guid><description>A practical guide to automating project management tasks and maximizing productivity using cutting-edge LLM tools like ChatGPT, Claude, and Gemini. Step-by-step walkthrough from daily task automation to ROI measurement.</description><pubDate>Sat, 01 Nov 2025 00:00:00 GMT</pubDate></item><item><title>Automating Large-Scale Page Testing with Claude Code in Parallel</title><link>https://jangwook.net/en/blog/en/claude-code-parallel-testing/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/claude-code-parallel-testing/</guid><description>Practical guide to running web page migration tests 5-8x faster with Claude Code agents and Playwright parallel execution</description><pubDate>Fri, 31 Oct 2025 00:00:00 GMT</pubDate></item><item><title>Standardizing Web Page Migration with LLMs: A Comprehensive Guide</title><link>https://jangwook.net/en/blog/en/llm-page-migration-standardization/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/llm-page-migration-standardization/</guid><description>Learn how to automate web page migration using LLMs, Web Components, and comprehensive testing frameworks. Discover proven strategies from Google, Airbnb, and industry leaders.</description><pubDate>Thu, 30 Oct 2025 00:00:00 GMT</pubDate></item><item><title>Building Automated Code Review Systems with Claude Code Hooks</title><link>https://jangwook.net/en/blog/en/claude-code-hooks-workflow/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/claude-code-hooks-workflow/</guid><description>Complete guide from hook-based coding rule configuration to CI/CD integration for production-ready automated review processes</description><pubDate>Wed, 29 Oct 2025 00:00:00 GMT</pubDate></item><item><title>Building an MCP Server for BigQuery with Prefix Filtering</title><link>https://jangwook.net/en/blog/en/bigquery-mcp-prefix-filtering/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/bigquery-mcp-prefix-filtering/</guid><description>Learn how to build a Model Context Protocol server for BigQuery with dataset prefix filtering, including architecture, implementation, and security best practices.</description><pubDate>Tue, 28 Oct 2025 00:00:00 GMT</pubDate></item><item><title>Auto-Coding with Jules: The Complete Guide to Google&apos;s Autonomous AI Coding Agent</title><link>https://jangwook.net/en/blog/en/jules-autocoding/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/jules-autocoding/</guid><description>Learn how to automate GitHub issue resolution and PR creation with Jules, Google&apos;s groundbreaking AI coding agent powered by Gemini 2.5 Pro</description><pubDate>Mon, 27 Oct 2025 00:00:00 GMT</pubDate></item><item><title>LangGraph Multi-Agent Systems: Production-Grade Orchestration</title><link>https://jangwook.net/en/blog/en/langgraph-multi-agent/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/langgraph-multi-agent/</guid><description>Build stateful multi-agent AI systems with LangGraph. Learn graph-based orchestration, deployment patterns, and real-world use cases from LinkedIn and Uber.</description><pubDate>Sun, 26 Oct 2025 00:00:00 GMT</pubDate></item><item><title>Playwright + AI: Building Automated E2E Tests</title><link>https://jangwook.net/en/blog/en/playwright-ai-testing/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/playwright-ai-testing/</guid><description>Complete guide to E2E test automation with Playwright and AI Codegen. TypeScript implementation, GitHub Actions integration, and visual regression testing for production-ready test suites</description><pubDate>Sat, 25 Oct 2025 00:00:00 GMT</pubDate></item><item><title>Analyzing Blog Revisit Intent with SSR Methodology</title><link>https://jangwook.net/en/blog/en/ssr-survey-analysis/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/ssr-survey-analysis/</guid><description>Experimental results and statistical analysis of 225 evaluations using LLM-based Semantic Similarity Rating. Validated high reliability with ICC 0.83 and visualizations.</description><pubDate>Fri, 24 Oct 2025 00:00:00 GMT</pubDate></item><item><title>AI Predicts Consumer Behavior: Semantic Similarity Rating Method</title><link>https://jangwook.net/en/blog/en/llm-consumer-research-ssr/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/llm-consumer-research-ssr/</guid><description>Revolutionary LLM-based synthetic consumer research achieves 90% human reliability using SSR methodology</description><pubDate>Thu, 23 Oct 2025 00:00:00 GMT</pubDate></item><item><title>Claude Skills Complete Guide: From Project Implementation to Practical Know-How</title><link>https://jangwook.net/en/blog/en/claude-skills-implementation-guide/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/claude-skills-implementation-guide/</guid><description>A practical guide documenting the journey from introducing Claude Agent Skills to real-world implementation, including trials, errors, and achievements. Learn how to specialize AI agents through folder-based modularization.</description><pubDate>Wed, 22 Oct 2025 00:00:00 GMT</pubDate></item><item><title>OpenAI AgentKit Complete Guide Part 2: Production Deployment and Advanced Patterns</title><link>https://jangwook.net/en/blog/en/openai-agentkit-tutorial-part2/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/openai-agentkit-tutorial-part2/</guid><description>From enterprise-grade multi-agent system design to production deployment, master AgentKit implementation in real-world scenarios</description><pubDate>Tue, 21 Oct 2025 00:00:00 GMT</pubDate></item><item><title>OpenAI AgentKit Complete Guide Part 1: Core Concepts and Getting Started</title><link>https://jangwook.net/en/blog/en/openai-agentkit-tutorial-part1/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/openai-agentkit-tutorial-part1/</guid><description>From core concepts to hands-on tutorials: everything you need to know about OpenAI AgentKit announced in October 2025</description><pubDate>Mon, 20 Oct 2025 00:00:00 GMT</pubDate></item><item><title>What Happens When You Assign Gender and Personas to AI Agents?</title><link>https://jangwook.net/en/blog/en/ai-agent-persona-analysis/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/ai-agent-persona-analysis/</guid><description>Psychological effects and optimal design strategies for AI agent personas revealed through 120+ research studies and industry best practices</description><pubDate>Sun, 19 Oct 2025 00:00:00 GMT</pubDate></item><item><title>Recommendation System Optimization: From 78K Tokens to Zero</title><link>https://jangwook.net/en/blog/en/metadata-based-recommendation-optimization/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/metadata-based-recommendation-optimization/</guid><description>How we eliminated 100% of token usage and reduced execution time by 99% in our content recommendation system through metadata-based algorithmic optimization.</description><pubDate>Sat, 18 Oct 2025 00:00:00 GMT</pubDate></item><item><title>Self-Healing AI Systems: Building Agents That Automatically Fix Bugs Without Human Intervention</title><link>https://jangwook.net/en/blog/en/self-healing-ai-systems/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/self-healing-ai-systems/</guid><description>Complete guide to Self-Healing Systems deployed by GitHub, Google, and Netflix. Full implementation from error detection to automatic patching with LangGraph</description><pubDate>Fri, 17 Oct 2025 00:00:00 GMT</pubDate></item><item><title>AI Agent Collaboration Patterns: Building Full-Stack Apps with 5 Specialized Agents</title><link>https://jangwook.net/en/blog/en/ai-agent-collaboration-patterns/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/ai-agent-collaboration-patterns/</guid><description>Orchestrate Architecture, Coding, Testing, Security, and DevOps agents to build production-grade applications</description><pubDate>Thu, 16 Oct 2025 00:00:00 GMT</pubDate></item><item><title>Specification-Driven Development in the AI Era: Writing Code with Markdown</title><link>https://jangwook.net/en/blog/en/specification-driven-development/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/specification-driven-development/</guid><description>Complete guide to systematic AI development with GitHub Spec Kit. Move beyond &quot;Vibe Coding&quot; to build scalable, maintainable production code that truly works.</description><pubDate>Wed, 15 Oct 2025 00:00:00 GMT</pubDate></item><item><title>First Week Analysis Report: A Journey Begun with 31 Passionate Early Adopters</title><link>https://jangwook.net/en/blog/en/weekly-analytics-2025-10-14/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/weekly-analytics-2025-10-14/</guid><description>GA4 data analysis, content performance, and improvement impact one week after blog launch - transparently sharing our blog growth journey (2025-10-07~10-14)</description><pubDate>Tue, 14 Oct 2025 00:00:00 GMT</pubDate></item><item><title>Implementing Scheduled Publishing on Static Sites: Automating Astro + GitHub Actions</title><link>https://jangwook.net/en/blog/en/astro-scheduled-publishing/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/astro-scheduled-publishing/</guid><description>A practical guide to implementing WordPress-like scheduled post publishing on static blogs using Astro and GitHub Pages. Complete automation with pubDate filtering and scheduled workflows</description><pubDate>Mon, 13 Oct 2025 00:00:00 GMT</pubDate></item><item><title>Building an Intelligent Content Recommendation System with Claude LLM</title><link>https://jangwook.net/en/blog/en/ai-content-recommendation-system/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/ai-content-recommendation-system/</guid><description>A comprehensive guide to building an AI-powered blog recommendation system that goes beyond simple tag matching with semantic understanding</description><pubDate>Sun, 12 Oct 2025 00:00:00 GMT</pubDate></item><item><title>Automate Web Performance Optimization with Chrome DevTools MCP</title><link>https://jangwook.net/en/blog/en/chrome-devtools-mcp-performance/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/chrome-devtools-mcp-performance/</guid><description>Complete guide to Chrome DevTools MCP: AI assistants measure and optimize performance with real browser data. From Core Web Vitals automation to practical workflows.</description><pubDate>Sat, 11 Oct 2025 00:00:00 GMT</pubDate></item><item><title>Building AI Agent Systems: A Practical Guide to Automation Pipelines with Notion API MCP and Claude Code</title><link>https://jangwook.net/en/blog/en/ai-agent-notion-mcp-automation/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/ai-agent-notion-mcp-automation/</guid><description>Complete guide to building production-ready AI agent automation systems using Model Context Protocol (MCP) and Claude Code with Notion integration. Expert-verified tutorial covering capabilities, limitations, benefits, and best practices from SEO and content management perspectives.</description><pubDate>Fri, 10 Oct 2025 00:00:00 GMT</pubDate></item><item><title>Automating Semi-Annual Presentation Creation with AI: From 60 Hours to 10</title><link>https://jangwook.net/en/blog/en/ai-presentation-automation/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/ai-presentation-automation/</guid><description>Learn how we reduced semi-annual reporting preparation from over 60 hours to just 10 hours using AI agent systems and automation tools in this practical implementation guide.</description><pubDate>Thu, 09 Oct 2025 00:00:00 GMT</pubDate></item><item><title>Automating Large-Scale Website Page Generation with Claude Code: Parts Library and SubAgent Parallel Processing</title><link>https://jangwook.net/en/blog/en/claude-code-web-automation/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/claude-code-web-automation/</guid><description>A practical case study of auto-generating 31 HTML pages using a parts library-based approach. Complete guide covering CSV metadata management, SubAgent parallel processing, and two-phase quality validation.</description><pubDate>Wed, 08 Oct 2025 00:00:00 GMT</pubDate></item><item><title>Claude Code Best Practices: Maximizing Developer Productivity with AI</title><link>https://jangwook.net/en/blog/en/claude-code-best-practices/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/claude-code-best-practices/</guid><description>A comprehensive guide to optimizing Claude Code setup based on Anthropic official best practices, with real-world implementation insights.</description><pubDate>Tue, 07 Oct 2025 00:00:00 GMT</pubDate></item><item><title>jangwook.net Blog Launch Analysis Report: The Beginning of a Data-Driven Technical Blog</title><link>https://jangwook.net/en/blog/en/blog-launch-analysis-report/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/blog-launch-analysis-report/</guid><description>Blog launch GA4 data analysis, practical MCP query examples, and 3-month growth strategy - transparently sharing the journey of starting a technical blog</description><pubDate>Mon, 06 Oct 2025 00:00:00 GMT</pubDate></item><item><title>Automating Blog Analytics with Google Analytics MCP and AI Agents</title><link>https://jangwook.net/en/blog/en/google-analytics-mcp-automation/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/google-analytics-mcp-automation/</guid><description>Learn how to automate blog analytics and make data-driven decisions using MCP and AI agents</description><pubDate>Sun, 05 Oct 2025 00:00:00 GMT</pubDate></item><item><title>Blog Automation with LLM and Claude Code - The Future of Content Creation</title><link>https://jangwook.net/en/blog/en/llm-blog-automation/</link><guid isPermaLink="true">https://jangwook.net/en/blog/en/llm-blog-automation/</guid><description>Complete guide to automating your blog with Claude Code and 11 specialized AI agents. From prompt engineering to MCP integration, multi-language support, and image generation - a practical tutorial anyone can follow.</description><pubDate>Sat, 04 Oct 2025 00:00:00 GMT</pubDate></item></channel></rss>