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10 Lessons From Production AI Agents
Ten practical lessons from tracing, evals, prompt versioning, routing, and security.
What an AI-Native Engineering Team Looks Like
AI-native teams redesign roles, evals, platforms, and accountability around agents.
What Self-Improving Agents Actually Mean
Self-improving agents need traces, evals, safe patches, and human approval loops.
Who Actually Owns Eval Quality
Eval quality improves when domain experts own the examples and rubrics.
Claude Code in Production: What Senior Engineers Actually Need to Know
Most teams using Claude Code are running it at 20% of its actual capability. Here is what teams actually getting leverage are doing differently — from CLAUDE.md to multi-agent file coordination.
Graphify Hit 450K Downloads in 26 Days. Here's Why the Economics of AI Coding Just Changed.
Knowledge graph context retrieval using Leiden community detection claims 71x fewer tokens per query. If that holds at enterprise scale, the cost problem that has been quietly killing agentic coding programs is solved.