Talk to your codebase.

Drop a repo, ask anything. It's ChatGPT, but for your own codebase.

The Magic Behind CodeBased

CodeBased uses cutting-edge RAG pipelines to transform your GitHub repo into a smart, searchable assistant that understands your code like a teammate.

Semantic Embeddings

Each chunk is embedded using powerful vector models, letting us match your questions with the most relevant parts of the repo — no keyword guessing games.

Context Retrieval

When you ask a question, CodeBased retrieves the top-matching code chunks and feeds them into an LLM, giving it just the right context to answer precisely.

Developer-Tuned Responses

Whether you need an explanation, architecture overview, or help finding where something's defined — responses are tuned to be helpful, accurate, and dev-friendly.

Smart Code Indexing

We parse and chunk your codebase intelligently — splitting files, functions, and comments into context-rich pieces that actually make sense to an LLM.