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
I’m Olli-Pekka, one of the co-founders of GitHits.
I've been a member of the open-source community for 15 years. I created opencv-python, which got 100M+ downloads while I maintained it as a side hustle. Fun fact: I’m from 🇫🇮, just like Linus Torvalds. 🙂
I noticed I kept giving the same advice to colleagues and friends when the docs were missing something. My go-to hack was simple: use GitHub search to find code that already solves the problem. It’s powerful, even though it only returns raw results rather than the answer in context.
I started building GitHits to bring that workflow to coding agents.
GitHits complements tools like Claude Code, Codex, Cursor, and other AI coding agents.
Those agents are great at navigating your local codebase. They can grep, search, and read files to understand how your application works.
The problem is that modern software doesn't stop at the repository boundary.
A large part of the system lives in frameworks, libraries, SDKs, and other open-source dependencies. Agents can usually see where your code calls into those dependencies, but they often can't navigate and inspect them in the same way. And even when an agent reads the docs, they only tell it what to call, not how it actually behaves. For that, you need the source.
GitHits gives agents access to:
Code examples based on real implementations from repositories, issues, discussions, and pull requests, linked back to the implementation code
Code navigation across packages and repositories: search, grep, file listing, and exact line reads without cloning
Package inspection for dependencies, vulnerabilities, changelogs, and upgrade changes
Documentation access across hosted docs and repository-backed docs
GitHits does this by building a version-aware index of open-source code on demand, usually in 10-20 seconds for an average repository.
GitHits is useful when an agent reaches the limits of the local repository.
That might happen during planning and research, when it needs to understand how a dependency works, what changed between versions, or how something has been implemented elsewhere. It also happens during implementation, when the agent starts retrying variations and exploring dead ends because the answer isn't in the local repository.
As developers, that's usually the point where we leave our own repository and start reading somebody else's.
Giving agents real OSS context feels like a cheat code. Curious how you rank which repos are signal vs random GitHub soup.
The dependency-context angle makes a lot of sense. Docs explain the API, but source code and real examples show how it actually behaves. I’d be interested to see how GitHits weighs tests vs production implementations when finding examples.
Congrats on the launch!
The "AI agent + OSS context" gap is real — most agents either hallucinate APIs or refuse to commit when they're unsure. Giving them grounded access flips that.
Question for you: how do you handle licensing exposure when the agent pulls from copyleft repos and the user is on a proprietary codebase? That's the piece I'd worry about if I were shipping this into a regulated team.
Giving a coding agent access to real open-source code is a smart idea. How does GitHits pick which repos or snippets are most relevant?
Building a version-aware index per release rather than scraping GitHub's default branch is the right call. Agents that can't inspect the exact version they depend on just hallucinate API signatures. We've hit this when agent-generated code breaks because docs described the wrong version. How does GitHits handle monorepos with independently versioned packages?
Really impressive backend work. Are you guys running the parsing/indexing entirely on your infra and serving it via API, or is there a local caching layer involved when we link it to Claude Code via MCP? Happy to support 🙌
Works great, I've been using Githits to explore implementation details from different libraries to ground my coding agent with real world examples. It's cool to point your coding agent towards an open source reference implementation that you know has already implemented what you want to implement.
This app is seriously helpful and turns your coding agent in a top tier senior engineer. When I am introducing a new pattern or library in my code, I always think to find real battle tested implementations first from GitHits. Eventually you realize just letting a coding agent vibe out consequential and high leverage code is just plain dumb and irresponsible.
Hi Product Hunt! 👋
I'm Juha, co-founder and chief architect of GitHits. I'm responsible for the indexing engine underneath, so I want to talk about the part you don't see.
The question I get more than any other is some version of this: my coding agent can already clone a repo, grep it, and search GitHub, so what is GitHits actually adding?
It's a fair question, and the honest answer is that scraping GitHub gives your agent raw results, not understanding. It clones whatever is at the top of the default branch and greps one repo at a time, treating code as text with no sense of what is worth trusting. And here's the part that surprises a lot of people: GitHub's own code search only covers a repository's default branch, so the older version you actually depend on usually isn't even searchable. That's fine for a quick lookup, but it falls apart the moment the problem gets specific.
What GitHits does instead is build a real, version-aware index. We fetch the actual source, parse it, turn it into structure, and keep that structure version by version, so your agent reads from something we already built rather than scraping and guessing in the moment.
People are usually surprised how much work that is. One small example: just figuring out which commit a version like 1.2.3 actually points to. There's no standard for how projects tag releases, so the part of our indexer whose only job is that is more than 700 lines, and we've rewritten it six times as we keep hitting new conventions in the wild. And that's before we've parsed a single line of the actual code.
And it isn't only code. We index documentation the same way, version by version, and combine it with the rest so your agent grounds itself in a balanced mix of code, tests, examples, and docs, instead of one slice it has to guess from.
The best way to judge it is to just test it out. Setup is one command:
npx githits@latest init
It connects GitHits to Claude Code, Codex, Cursor, or any MCP-compatible agent. Or sign up here: https://app.githits.com/signup
I built the indexing engine, so I'd genuinely love to hear where it works or breaks for you. Brutally honest feedback is the most useful kind.
About GitHits beta 0.9 on Product Hunt
“Give your AI coding agent access to open-source code”
GitHits beta 0.9 launched on Product Hunt on June 16th, 2026 and earned 130 upvotes and 23 comments, placing #7 on the daily leaderboard. 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 beta 0.9 was featured in Software Engineering (42.6k followers), Developer Tools (514.1k followers), Artificial Intelligence (471.1k followers) and Vercel Day (19 followers) on Product Hunt. Together, these topics include over 180.3k products, making this a competitive space to launch in.
Who hunted GitHits beta 0.9?
GitHits beta 0.9 was hunted by Olli-Pekka Heinisuo. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how GitHits beta 0.9 stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Olli-Pekka Heinisuo
Hi Product Hunt! 👋
I’m Olli-Pekka, one of the co-founders of GitHits.
I've been a member of the open-source community for 15 years. I created opencv-python, which got 100M+ downloads while I maintained it as a side hustle. Fun fact: I’m from 🇫🇮, just like Linus Torvalds. 🙂
I noticed I kept giving the same advice to colleagues and friends when the docs were missing something. My go-to hack was simple: use GitHub search to find code that already solves the problem. It’s powerful, even though it only returns raw results rather than the answer in context.
I started building GitHits to bring that workflow to coding agents.
GitHits complements tools like Claude Code, Codex, Cursor, and other AI coding agents.
Those agents are great at navigating your local codebase. They can grep, search, and read files to understand how your application works.
The problem is that modern software doesn't stop at the repository boundary.
A large part of the system lives in frameworks, libraries, SDKs, and other open-source dependencies. Agents can usually see where your code calls into those dependencies, but they often can't navigate and inspect them in the same way. And even when an agent reads the docs, they only tell it what to call, not how it actually behaves. For that, you need the source.
GitHits gives agents access to:
Code examples based on real implementations from repositories, issues, discussions, and pull requests, linked back to the implementation code
Code navigation across packages and repositories: search, grep, file listing, and exact line reads without cloning
Package inspection for dependencies, vulnerabilities, changelogs, and upgrade changes
Documentation access across hosted docs and repository-backed docs
GitHits does this by building a version-aware index of open-source code on demand, usually in 10-20 seconds for an average repository.
GitHits is useful when an agent reaches the limits of the local repository.
That might happen during planning and research, when it needs to understand how a dependency works, what changed between versions, or how something has been implemented elsewhere. It also happens during implementation, when the agent starts retrying variations and exploring dead ends because the answer isn't in the local repository.
As developers, that's usually the point where we leave our own repository and start reading somebody else's.
What users say about GitHits:
Onni: Helping Claude Code to find undocumented APIs from the code
Rob: had a problem in my openusage v2 app - boom, perfect fix without guesses
Forever free tier available.
No trial period. Just create your account and connect your agent to GitHits.
Launch day special.
Everyone who signs up today gets 3x credits for 6 months. No strings, just more GitHits.
Setup is one command:
It installs the CLI and connects GitHits to Claude Code, Codex, Cursor, or any MCP-compatible agent. Or sign up using this link.
If you’re already using GitHits, let me know what you use it for, and how we can make GitHits even better.
We look forward to your brutally honest feedback and sincerely appreciate the support!