Jaakko (Jack) Timonen

How to end your AI coding agent's retry loops

Have you noticed that your agent can grep, glob, and read your local codebase, but it can't do the same thing across the open-source code your app depends on?

Agents start looping when they're

– Chasing hallucinated APIs

– Guessing SDK integrations

– Fighting stale dependencies

– Decoding black-box packages

Your looping agent breaks your flow and burns your tokens.

That is the creator of opencv-python (100M+ downloads while he maintained it as a side hustle) started building GitHits.

GitHits brings open-source code as context for AI coding agents.

GitHits builds a version-aware index of open-source code on demand (in about 10-20 seconds for an avg. repo), so agents can retrieve and navigate the actual code running in the stack.

GitHits gives your agent:

1/ Code Examples based on real implementations from repositories, issues, discussions, and pull requests, linked back to the implementation code.

2/ Code Navigation across packages and repos: search, grep, file listing, and exact line reads without cloning.

3/ Package Inspection for dependencies, vulnerabilities, changelogs, and upgrade changes.

4/ Documentation access across hosted docs and repo-backed docs.

How does this sound to you? Have you experienced the issues described above?

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