Launching today

git-lrc
Free, unlimited AI code reviews that run on commit
94 followers
Free, unlimited AI code reviews that run on commit
94 followers
GenAI is like a race car without brakes. It accelerates fast — you describe something, and large blocks of code appear instantly. But AI agents silently break things. They remove logic. Relax constraints. Introduce expensive cloud calls. Leak credentials. Change behavior without telling you. git-lrc is your braking system. It hooks into git commit and runs an AI review on every diff before it lands.









git-lrc
git-lrc started from a practical observation within my own team.
As our usage of AI coding tools like Copilot, Cursor, etc., increased, our velocity seemingly went up—but careful checking of the AI-generated code went down.
Engineers were committing code they hadn’t truly examined.
Reviews were happening later, sometimes too late, and often superficially (because AI generates tons of code)
This led to abstruse bugs and long debugging at prod.
Clearly, we needed a solution.
I didn’t want another dashboard. I wanted a strong nudge to review code at the right place—exactly where responsibility is bound to exist: git commit.
I prototyped git-lrc such that AI helps the developer work through diffs faster, acquire an understanding of what's going on, and fix issues on a commit-by-commit basis.
git-lrc was built with the idea that review shouldn’t be an afterthought. It should be structurally encouraged while putting the developer in control.
So in git-lrc, while a review is triggered automatically, the dev can still consciously skip the review.
Or they can manually review and "vouch" for the change they are making.
All these micro review decisions get recorded in git log—for future analysis so that the team could operate at higher engineering standards.
As to git-lrc, it takes 60 seconds to set up and is completely free for any number of reviews—thanks to Google Gemini's Free tier.
I encourage you to give git-lrc a try and see the difference in the quality of your code as well as concrete outcomes such as reduced production bugs.
Hexmos
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PROCESIO
congrats!
git-lrc
@madalina_barbu Thank you, Madalina
git-lrc
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Miro
Congratulations on the launch, super cool idea! Pre-commit code review sounds like the perfect time to catch the bugs from AI-gen code.
A few questions that come to mind:
- how configurable are the checks? (can team introduce some specific domains to handle in certain way?)
- do you have any metrics yet on false positivie rates?
- and what happens when teams ship huge diffs?
git-lrc
Hi Lukasz,
Thanks for your interest; pre-commit hooks for AI reviews have been a game changer in our experience.
Presently we have some prompt customization at the org level. Are you thinking more from a repo-level config angle?
We are planning to bring a feedback loop like we do in YT recommendation system. Right now - we have tweaked things based on subjective/experiential feedback across users.
Huge diffs are handled just fine due to the way we handle context, batching, and so on.
Hopefully this helps. Happy to share more details over email if required at shrijith <at> hexmos.com