I Spent Four Weeks Reading 200+ Sources on Context Engineering. Here's What I Built.

A launch post for nv:context , a Claude Code skill that sets up context engineering for any repository in three minutes. The wall I kept hitting I build production Python services with AI coding agents. Claude Code, Cursor, Copilot, the whole rotation. And no matter how carefully I wrote my CLAUDE.md files, I kept hitting the same wall: the agent would forget rules mid-session, run the wrong test command, or touch files it shouldn't. I did what most people do. I wrote longer CLAUDE.md files. Added more "don't do X" instructions. Tried /init . Nothing clicked. Eventually I sat down to figure out why. Four weeks later, I had read 200+ sources on what the research calls context engineering . The picture was clearer than I expected, and uglier. Here's the punchline: Bad context doesn't just not help. It actively hurts. ETH Zurich found that auto-generated agent config files reduce success by 3% and increase costs 20%+ METR ran a controlled study on experienced developers and found they wer