GitHits beta 0.9

In plain words

GitHits is a code example engine that helps AI agents and developers find solutions by searching real code examples from GitHub repositories. Instead of struggling with generic documentation or search tools, users can discover how others have already solved the same programming problems in open source projects. The platform surfaces practical, working code examples from the vast pool of open source repositories to address common development challenges.

written from the facts on this page · September 2026

From the sources

GitHits gives coding agents access to the open-source code your app depends on. Get real implementation examples, dependency source navigation, package inspection and documentation. Agents can grep and read your codebase. They can't grep and read the open-source code your app depends on. That's where they start guessing, retrying, and looping. GitHits builds a version-aware index on demand. Agents can search, navigate, and inspect the code behind their dependencies. CLI: npx githits@latest init

GitHits gives AI coding agents a context layer for indexed code, package docs, metadata, vulnerabilities, changelogs, dependency graphs, upgrade evidence, and examples.

GitHits is the code context layer for AI coding agents. It provides version-aware context from open-source code, documentation, and package data, so agents write more accurate code that developers can trust. Fix this TypeScript React fixture so `npm test` and `npm run typecheck` succeed, preserving queued checkout writes across app reloads. But much of the application’s behavior comes from public frameworks, SDKs, libraries, and transitive dependencies. When the answer lives inside one of those packages, searching the local repository often stops at the import or API call. The agent can see how your application uses the package. It cannot necessarily see what the package does. Search…from githits.com

In the maker’s words, at launch

It has been almost 10 years since I started the opencv-python packaging project. Scaling it to more than 100 million downloads as a side project showed me how much ease of installation and proper package distribution matter to users. It gave the computer vision ecosystem a noticeable boost. Now I have a new idea that…

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  Hey HN! I built a proof-of-concept for AI memory using Git instead of vector databases. The insight: Git already solved versioned document management. Why are we building complex vector stores when we could just use markdown files with Git's built-in diff/blame/history? How it works: Memories stored as markdown files in a Git repo Each conversation = one commit git diff shows how understanding evolves over time BM25 for search (no embeddings needed) LLMs generate search queries from conversation context Example: Ask "how has my project evolved?" and it uses git diff to show actual…

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  Hey HN, I posted GitClassic here 2 months ago- since then I've rebuilt most of it based on what people asked for. https:&#x2F;&#x2F;gitclassic.com What's new: Issues, PRs w&#x2F; full diffs, repo intelligence (health scores, dependency graphs), trending&#x2F;explore, bookmarks, comparison tool, and advanced search. Every page is server-rendered HTML- No React, no SPA, no client bundle, pages under 14KB(gzipped). Try loading facebook&#x2F;react and compare it to GitHub load times. Public repos work without an account, Pro adds private repo access via GitHub OAuth. Stack: Hono on Lambda,…

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