codebase-intel

<h1 align="center">codebase-intel</h1> <p align="center"> <strong>Your AI agent writes code. But does it know <em>why</em> your code exists?</strong> </p> <p align="center"> <a href="https://github.com/MutharasuArchunan13/codebase-intel/stargazers"><img src="https://img.shields.io/github/stars/MutharasuArchunan13/codebase-intel?style=flat-square" alt="Stars"></a> <a href="https://opensource.org/licenses/MIT"><img src="https://img.shields.io/badge/License-MIT-green.svg?style=flat-square" alt="MIT"></a> <a href="https://www.python.org/"><img src="https://img.shields.io/badge/python-3.11+-blue.svg?style=flat-square" alt="Python 3.11+"></a> <a href="https://modelcontextprotocol.io/"><img src="https://img.shields.io/badge/MCP-compatible-purple.svg?style=flat-square" alt="MCP"></a> <a href="#19-languages"><img src="https://img.shields.io/badge/languages-19-orange.svg?style=flat-square" alt="19 Languages"></a> <a href="https://pypi.org/project/codebase-intel/"><img src="https://img.shields.io/pypi/v/codebase-intel?style=flat-square" alt="PyPI"></a> </p>

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AI coding agents can autocomplete, refactor, and generate code. But they still fail at the things that matter most in production:

• They don't know your team decided to use token bucket over sliding window — and why
• They don't know the compliance team requires rate limit headers on every response
• They don't know that changing config.py will break billing and analytics
• They generate code that looks right but violates your project's architectural patterns

codebase-intel fixes this. It's the context layer that sits between your codebase and any AI agent — providing not just what code exists, but why it exists, what rules it must follow, and what breaks if you change it.

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Before vs After

WITHOUT codebase-intel                    WITH codebase-intel
─────────────────────                     ───────────────────

Agent reads: every file in the dir        Agen