GLM-5: MIT Open-Source Frontier Model for Enterprise
Zhipu AI released GLM-5 with 744B MoE trained on Huawei Ascend without NVIDIA. A cost-effective MIT-licensed alternative for enterprise deployments.
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Microsoft Agent Framework GA: AutoGen + Semantic Kernel Unified
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.
OpenAI Acquires Promptfoo — The AI Agent DevSecOps Era Begins
OpenAI acquired Promptfoo (25% of Fortune 500). Learn what it means for AI agent DevSecOps: red team testing, CI/CD pipelines, and behavior policies.
How to Detect Agent Washing: A 7-Point EM Checklist
~130 of thousands of AI agent vendors build truly agentic systems. Use this EM 7-point checklist to test goal re-routing, context memory, and tool flexibility.
Anthropic's Big AI Ecosystem Play — Institute & $100M Fund
Anthropic Institute launch, $100M Claude Partner Network, and Claude Certified Architect. A CTO-level analysis of AI vendor ecosystem maturity in 2026.
GPT-5.4 — Native Computer Use and the 1M Context Window
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's what engineering managers need to know.
9 Design Principles for Production-Grade AI Agent Deployment
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.
AI Agent Observability in Production
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.
MCP Apps: Interactive UI Running Inside AI Chat
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.
mcp2cli — Cut MCP Token Costs by 96–99% with CLI-Based Tool Discovery
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%.
OpenAI Open Responses: A Common Standard for Agentic AI
OpenAI Open Responses spec standardizes agentic AI workflows. We analyze its core concepts, ecosystem support, and adoption strategies from an EM/CTO perspective.
Claude Code Review — Multi-Agent PRs Lift Coverage to 54%
Complete breakdown of Anthropic'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