KI-Agent analysiert GitHub-Repos und schreibt automatisch die CLAUDE.md
Neue Coding-Agents stellen in jedem Projekt dieselben Fragen zu Setup und Stolperfallen. Das Tool Groundwork erledigt diese Erstanalyse in wenigen Minuten und hält die Antworten in einer CLAUDE.md fest.
Posted on Oct 14 • Originally published at ibraryunus.com
Your first day on an unfamiliar codebase goes on the same questions. What is this, how do I run it, what's going to bite me?
An AI coding agent asks those questions every single session, and gets them wrong when nobody wrote the answers down.
Groundwork does that first day in a couple of minutes. Point it at a GitHub repo and you get a plain-English technical audit and a ready-to-commit CLAUDE.md.
It doesn't dump the repo into a prompt. The model plans, then calls two tools against the GitHub API:
It works within a step and file budget, and the only way out is finish, which has to return both documents. No half-finished audits.
One prompt and one tool schema drive both Anthropic and Google Gemini. You pick the provider and paste your own API key. Keys stay in your browser and only go to that provider.
If you'd rather use the terminal, there's a Claude Code CLI that runs the same audit on a local checkout with no API key.
Write down the first day on a codebase once, so no one, human or agent, has to rediscover it.
Full write-up: ibraryunus.com/work/groundwork