Codebase Intelligence

Source: Dev.to

Overview

Navigating a new repository can be overwhelming. I built Codebase Intelligence to turn static code into an interactive knowledge base using Retrieval‑Augmented Generation. Instead of the AI guessing what your code does, it reads the relevant files before answering.

By using semantic search and vector embeddings, you can ask questions like:

• “How is the authentication flow handled?”
• “Where are the API routes defined?”

You receive a context‑aware answer backed by your actual code.

Key Features

• Automated ingestion pipeline – built with LangChain and OpenAI embedding model to fetch, chunk, and embed GitHub repositories.
• High‑performance semantic search – powered by Pinecone vector database with metadata filtering.
• Conversational interface – integrated GPT‑4.0 and Vercel AI SDK to manage the dialogue flow.
• Continuous maintenance – GitHub Actions automate daily cleanup and database upkeep.

Demo

Check it out here:

Open Source

The tool is open source. Feel free to use it for your own repositories or contribute to the ingestion logic.

GitHub repository:

Screenshots