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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Explore BarraCUDA, an open-source compiler that compiles CUDA .cu files directly to AMD GPU machine code without LLVM, challenging NVIDIA's GPU computing monopoly.
A comprehensive analysis of Claude Sonnet 4.6's updates, model versioning strategy, performance benchmarks, and cost efficiency.
As DeepSeek V4'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.
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.
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.
The first empirical study evaluating AGENTS.md effectiveness has been published. We analyze its impact on coding agent success rates and inference costs.
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.
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't everything.
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.
Qwen 3.5, a top performer on standard benchmarks, goes bankrupt on Vending-Bench 2's vending machine simulation. Exploring the blind spots of benchmark-driven AI evaluation.
Analyzing the full prompt reprocessing issue when running Claude Code with local LLMs. Learn about KV cache invalidation mechanics and developer tool design lessons.
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.
Karpathy'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.
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.
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.
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.
IBM is tripling Gen Z entry-level hiring after realizing AI's limits. An EM's analysis of AI replacement reality, enterprise workforce planning, and organizational design shifts.
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.
How NVIDIA'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.
A technical analysis of NVIDIA DGX Spark's sm121 architecture CUDA software compatibility problems and suspected handheld gaming chip repurposing.
OpenAI'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.
Prompt injection text was discovered embedded in ICML submission PDFs. We analyze the security risks of AI-dependent academic peer review systems.
Moltbook's AI autonomous society was revealed to be controlled by human operators. We analyze the AI Theater phenomenon and its implications for engineering leaders.
How to fix the error: unknown command 'doctor' error when running openclaw update on the dev version. A step-by-step troubleshooting guide with 3 approaches tried.
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.
MIT'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.
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?
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.
Windsurf'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.
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.
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?
Analyzing a real implementation of MIT'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.
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.
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.
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.
Analyzing GitHub's temporary rollback of GPT-5.3-based Codex. Explores platform reliability, AI model upgrade risks, and countermeasures from an EM perspective.
Analyzing 6 months of real data from an accounting firm's AI agent deployment. Behind the 97% cost reduction and 80%→98% accuracy improvement lies a realistic journey of adoption challenges and organizational transformation.
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.
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.
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.
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.
When running multiple AI agents like Claude and Codex, task routing is the hardest challenge — and it mirrors delegation in engineering management.
A hands-on guide to building natural-language E2E tests using OpenClaw's browser automation, node device management, cron scheduling, and multi-agent orchestration.
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.
A hands-on guide to enabling Claude Code's Agent Teams in an OpenClaw environment, configuring 5 specialized teams, and running them in production.
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.
![[URGENT] OpenClaw Cron Job Fix Guide (dev channel v2026.2.4)](/_astro/openclaw-cron-fix-guide-hero.NS-r4otl_Z1IL31i.webp)
Emergency guide to fix OpenClaw stable/beta (2026.2.3-1) cron job execution failures and missing reminders.
Configure Claude Opus 4.6 on OpenClaw with copy-paste settings. Unlock 1M token context and 128K output for your AI assistant.
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.
Cron automation, webhook integration, MCP servers, multi-agent systems, browser automation, and more — 8 production-level OpenClaw use cases.
Step-by-step guide to installing OpenClaw, connecting Telegram, and having your first AI conversation. From Node.js setup to workspace configuration.
Discover OpenClaw, the open-source AI assistant platform. Multi-channel, multi-model, node system, and more — your complete guide to self-hosted AI.
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.
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.
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.
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.
Learn practical applications of Anthropic Agent Skills through tutorials and code examples, analyze ROI for business value, and maximize AI agent efficiency.
Anthropic'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.
75 days post-launch GA4 analysis - 85 daily visitors, 56.5% organic search, Google Code Wiki Guide as new top performer, China market surge
Analyzing Greptile's State of AI Coding 2025 report and examining the real productivity changes AI has brought to development, combined with personal experience.
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.
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.
DeNA LLM Study Series finale. Practical guide to n8n workflows, agent design principles, multi-agent orchestration patterns, and memory management strategies.
Exploring RAG from core concepts to GraphRAG and Agentic RAG through DeNA LLM Study Series Part 4, covering cutting-edge retrieval-augmented generation techniques.
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.
From structured outputs using JSON Schema and Pydantic to practical Multi-LLM pipeline design patterns like Sequential, Parallel, and Cascade for production applications
DeNA LLM Study series begins. Comparing GPT-4, Claude, and Gemini, covering Next Token Prediction, Instruction Tuning, Reasoning models, and prompt engineering basics.
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.
오케스트레이션 에이전트 중심의 반복적 리뷰 사이클을 통해 복잡한 개발 작업의 에러율을 40-90% 감소시키는 체계적 방법론을 소개합니다.
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.
A comprehensive guide to analyzing 48 files and fixing 61 issues using Claude Codes multi-agent orchestration pattern for large-scale system improvements
After Google AdSense rejected my site for "Low Value Content", 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.
Career advice from years of SMB experience. How domain knowledge and T-shaped growth can help you thrive in the AI era.
Limits of bottom-up AI adoption and organizational change management strategies. A systematic approach through workflow documentation and standardization.
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.
Learn how to automatically detect security vulnerabilities and configuration issues in GCP infrastructure using AI agents and gcloud MCP.
From SEO foundation to AEO strategy: real implementation case study with measurable results from the Agent Effi Flow project
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's perspective.
A practical guide to building cost-effective AI batch processing infrastructure using API Gateway, Lambda, and ECS Fargate
Build an automated page quality verification system for web publishers. Test 8 quality items with a single command and receive improvement suggestions.
Explore Google Code Wiki features, usage guide, and Gemini-based automatic documentation system in detail.
Maximize Claude Code productivity with 7 essential MCP servers. Learn Serena, Context7, Sequential Thinking setup and real-world usage patterns
A practical guide to analyzing Deep Agents concepts from LangChain and Philipp Schmid and optimizing agent architecture
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
Comprehensive GA4 analysis of blog's first 45 days - 44.3% organic search achieved, SEO optimization ROI proven, traffic spike investigation, 91% bounce rate crisis on English homepage
Learn how to apply Anthropic's MCP Code Execution patterns to real projects with practical examples of directory structure improvements and security configurations.
Explore how Anthropic's Code Execution with MCP achieves 98.7% token reduction and 60% faster execution through sandboxed code-based tool orchestration.
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
Practical implementation of Top 3 Quick Wins. Achieving 100% completion and 99% stability with 38 minutes of investment and ROI analysis
Skills auto-discovery mechanism and Commands integration. Achieving 58% token reduction through caching strategy
Blog automation with 17 Agents and metadata-first architecture. Case study achieving 60-70% token reduction and full automation
A practical guide to building document search and Q&A systems using Gemini File Search Tool announced in November 2025, without complex RAG pipelines. Dramatically reduce development time with fully-managed RAG.
Research-backed prompt engineering techniques applied to 17 Claude Code agents, with measurable results and practical implementation guide.
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.
Comprehensive guide on generating web components from Figma using MCP and implementing continuous design-to-code synchronization with vanilla JavaScript.
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.
Verbalized Sampling tackles mode collapse after alignment by prompting models to verbalize probability distributions, achieving 1.6-2.1x diversity gains without retraining
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
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.
Learn how to leverage Slack MCP for automated team communication analysis, sentiment tracking, and actionable insights using Claude AI and Model Context Protocol.
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%.
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.
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.
Practical guide to running web page migration tests 5-8x faster with Claude Code agents and Playwright parallel execution
Learn how to automate web page migration using LLMs, Web Components, and comprehensive testing frameworks. Discover proven strategies from Google, Airbnb, and industry leaders.
Complete guide from hook-based coding rule configuration to CI/CD integration for production-ready automated review processes
Learn how to build a Model Context Protocol server for BigQuery with dataset prefix filtering, including architecture, implementation, and security best practices.
Learn how to automate GitHub issue resolution and PR creation with Jules, Google's groundbreaking AI coding agent powered by Gemini 2.5 Pro
Build stateful multi-agent AI systems with LangGraph. Learn graph-based orchestration, deployment patterns, and real-world use cases from LinkedIn and Uber.
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
Experimental results and statistical analysis of 225 evaluations using LLM-based Semantic Similarity Rating. Validated high reliability with ICC 0.83 and visualizations.
Revolutionary LLM-based synthetic consumer research achieves 90% human reliability using SSR methodology
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.
From enterprise-grade multi-agent system design to production deployment, master AgentKit implementation in real-world scenarios
From core concepts to hands-on tutorials: everything you need to know about OpenAI AgentKit announced in October 2025
Psychological effects and optimal design strategies for AI agent personas revealed through 120+ research studies and industry best practices
How we eliminated 100% of token usage and reduced execution time by 99% in our content recommendation system through metadata-based algorithmic optimization.
Complete guide to Self-Healing Systems deployed by GitHub, Google, and Netflix. Full implementation from error detection to automatic patching with LangGraph
Orchestrate Architecture, Coding, Testing, Security, and DevOps agents to build production-grade applications
Complete guide to systematic AI development with GitHub Spec Kit. Move beyond "Vibe Coding" to build scalable, maintainable production code that truly works.
GA4 data analysis, content performance, and improvement impact one week after blog launch - transparently sharing our blog growth journey (2025-10-07~10-14)
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
A comprehensive guide to building an AI-powered blog recommendation system that goes beyond simple tag matching with semantic understanding
Complete guide to Chrome DevTools MCP: AI assistants measure and optimize performance with real browser data. From Core Web Vitals automation to practical workflows.
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.
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.
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.
A comprehensive guide to optimizing Claude Code setup based on Anthropic official best practices, with real-world implementation insights.
Blog launch GA4 data analysis, practical MCP query examples, and 3-month growth strategy - transparently sharing the journey of starting a technical blog
Learn how to automate blog analytics and make data-driven decisions using MCP and AI agents
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.