AI software factory built a dev tool – and indexed itself

I came across this project and thought it was worth sharing. It’s called ChunkHound, a local-first, offline code search engine that lets AI assistants (and humans) explore and search large codebases — semantic search, regex, MCP protocol, etc.

After speaking with the developer, I learned something pretty wild.

The entire project — specs, architecture, implementation, even the name — was generated by an AI coding agent. No human coding, just high-level prompting with a factory-style system feeding the agent tasks and specs. The agent handled the full build end-to-end.

In a way, it even indexed itself once it was done.

* Local-first semantic + regex search (Tree-Sitter + DuckDB)

* MCP server to serve AI agents (Claude, Cursor, VSCode, etc.)

* MIT licensed

Repo: https://github.com/ofriw/chunkhound