Conversational Codebase Q&A

Developer Tooling

Conversational Codebase Q&A

Clones any public GitHub repo, analyzes architecture via map-reduce, and answers questions about the codebase in plain language.

The problem

Understanding an unfamiliar codebase means reading it file-by-file, and large repos blow past a single LLM's context window.

  • You inherit a repo and spend day one just figuring out where things live.
  • A single file's context isn't enough, but the whole repo won't fit in one prompt.
  • The person who could just explain the architecture left the company two years ago.

What NEO built

NEO built a map-reduce pipeline that chunks and summarizes a cloned repo in parallel, merges the results into one architectural report, and grounds a multi-turn chat in that analysis.

Map-reduce summarizationRepo analysisConversational Q&A

The result

Any public repo, plain-language Q&A

Lets developers ask plain-language questions about any public repo's structure and behavior instead of navigating it manually.

Query Any GitHub Repo with a Conversational AI Agent

From the blog · 8 min

Query Any GitHub Repo with a Conversational AI Agent

NEO built a terminal-styled AI agent that clones any public GitHub repository, analyzes its architecture using a map-reduce pipeline, and lets you ask questions about the codebase in plain language.

Try this in your workspace

Paste this into NEO chat to kick off the same workflow on your own data.

NEO chat

Clone this repo, map-reduce a summary of its architecture across all the files, and let me ask follow-up questions about how it actually works.

Paste it in · review the plan · get the diff

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