How I Built a Local Tool That Maps Any Codebase in 55 Seconds No Cloud, No Uploads

A developer built Sentinel, a local tool that scans any codebase in 55 seconds without cloud uploads or internet. It generates a ~2,500-token prompt for AI coding agents, using only Python stdlib with zero external dependencies. The tool is available on GitHub and has passed 197 tests with zero failures.

I spend a lot of time working with AI coding agents Claude Code, Cline, Cursor, OpenCode. And every time I start a new task in a large repo, I hit the same wall: the agent has no idea what the codebase looks like. So I built Sentinel. Point it at any repo. It scans everything locally no uploads, no API keys, no internet needed and produces: Every scan runs entirely on your machine. No code leaves your disk. No API calls. Pure Python stdlib — zero external dependencies. The AI agent prompt it generates a total of ~2,500 tokens replaces hours of manually reading files and explaining the codebase to your agent. bash pip install git+https://github.com/Ntooxx/Sentinel.git project-sentinel scan . --fast 🔗 GitHub: https://github.com/Ntooxx/Sentinel 🌐 Dashboard demo: sentinel-nt.netlify.app 📦 197 tests, 0 failures Let me know what breaks or what's missing. I'm actively improving it.