GitHits is a code example engine for AI coding agents and developers.
It searches open-source repositories and distills implementation patterns from real code.
AI coding tools like Claude Code and Cursor are great at generating code for common cases, but when agents hit a niche integration, an undocumented API, a long-tail edge case, or something else they haven’t seen before, they start looping, often retrying variations that almost work.
The solution usually already exists somewhere in open source.
GitHits finds those implementations and returns a single example showing how the problem has been solved before.
The result: fewer dead-end loops, fewer wasted tokens. You save time and money.
GitHits complements tools like Claude Code and Cursor. Available as an MCP server that agents can call automatically, and as a web app for planning and research.
For more information, visit GitHits.com.
What makes GitHits different?
• No LLM hallucinations, but real, up-to-date code from GitHub
• Not a list of raw search results, but distilled code examples
• Not just searching your repository, but all public repositories on GitHub
• No keyword guesswork – describe your issue and GitHits agentic search does the rest
Developed by
• Olli-Pekka Heinisuo linkedin.com/in/ollip/, github.com/skvark/
• Jaakko Timonen linkedin.com/in/jtimonen/
