Hello, I'm Shrijith. I'm building git-lrc, an AI code reviewer that runs on every commit. It is free, unlimited, and source-available on Github. Star Us to help devs discover the project. Do give it a try and share your feedback for improving the product.
### 1. "Why do I only get feedback after I've moved on?"Pain: Review comments come too late--context is lost, momentum breaks.
Solution: AI gives immediate feedback as code is written. Engineers fix issues while still in flow.
2. "Everyone formats code their own way. It's a mess."
Pain: Inconsistent styles slow down reviews and make the codebase harder to read.olution:** AI enforces consistent style rules automatically, saving time and arguments.
3. "I pushed a tiny bug... and it blew up in production."
Pain: Small mistakes slip past reviewers and tests.
Solution: AI catches common bugs like nulls, leaks, and concurrency issues early.
4. "Big PRs take forever to review and merge."
Pain: Large diffs stall because they're hard to understand and risky to merge.
Solution: AI nudges devs to write smaller, focused changes and provides quick feedback on them.
5. "We're drowning in PRs. Review is always the bottleneck."
Pain: Human reviewers can't keep up, leading to delays.
Solution: AI scales instantly--no queue, no delay, no reviewer fatigue.
6. "New hires need constant help and still get stuck."
Pain: Onboarding drains senior time and slows velocity.
Solution: AI explains best practices in context--guiding juniors while reducing mentoring load.
7. "I waste time pointing out the same mistakes over and over."
Pain: Repetitive nitpicks are annoying for reviewers and demotivating for authors.
Solution: AI handles repetitive issues, freeing humans to focus on meaningful feedback.
8. "We had a good pattern... now it's gone."
Pain: Good practices silently decay over time without enforcement.
Solution: AI locks in patterns so they stick. Drift gets flagged early.
9. "How did this security issue even get merged?"
Pain: Security bugs often go unnoticed in reviews.
Solution: AI flags unsafe patterns and secrets immediately--before the code lands.
10. "Why do we keep making the same mistakes?"
Pain: Repeated bugs and bad habits slow down releases and frustrate users.
Solution: AI learns from the past and flags patterns you've tripped on before.
11. "I don't want yet another tool to manage."
Pain: New tools add friction or require switching workflows.
Solution: AI integrates right into your PRs on GitHub/GitLab--no new tabs, no friction.
12. "We use 4 different languages--who reviews what?"
Pain: Reviewing across stacks requires domain experts you might not have.
Solution: AI reviews multiple languages with the same quality and consistency.
13. "Some warnings matter. Some don't. I'm tired of guessing."
Pain: Noise in reviews buries real problems.
Solution: AI highlights what's critical first--like performance, bugs, or security--not just formatting.
14. "Our codebase is full of old, unused junk."
Pain: Dead code confuses new devs and increases maintenance cost.
Solution: AI surfaces unused or duplicated code safely and quickly.
15. "I don't just want fixes. I want to learn."
Pain: Fixes without explanations don't help engineers grow.
Solution: AI often explains why something's wrong, with links or examples when needed.
16. "Legacy code is too risky to touch."
Pain: Nobody wants to touch old code for fear of breaking it.
Solution: AI suggests safe, incremental improvements, helping modernize without major rewrites.
17. "Why is frontend code importing database calls?"
Pain: Architectural boundaries get violated and go unnoticed.
Solution: AI flags cross-layer issues early, so your structure doesn't rot.
18. "I don't know if our reviews are working or not."
Pain: It's hard to track if reviews are slow, shallow, or repetitive.
Solution: AI gives metrics on review quality, merge times, and recurring issues.
19. "Why do we keep fixing bugs after QA or prod?"
Pain: Late fixes mean lost time, blown deadlines, and user frustration.
Solution: AI helps shift bug detection earlier--less stress in QA, fewer hotfixes.
Final Thought
AI code review isn't about replacing engineers--it's about removing the drag: review delays, broken patterns, forgotten bugs, and wasted cycles. Your team ships more, ships faster, and ships with confidence.
One Last Thing:
If this resonated with you, and you're thinking about how to actually get these benefits without locking into another bloated SaaS tool or per-seat pricing model - might be worth a look.
It's a simple, perpetual-license AI code reviewer that plugs into your existing code host. You bring your own API key (OpenAI, etc.), and it does high-quality, inline reviews without pushing you into a walled garden.
No subscription. No team-size limits. Just reviews that help your team move faster.
*AI agents write code fast. They also silently remove logic, change behavior, and introduce bugs -- without telling you. You often find out in production.
git-lrc fixes this. It hooks into git commit and reviews every diff before it lands. 60-second setup. Completely free.*
Any feedback or contributors are welcome! It's online, source-available, and ready for anyone to use.
⭐ Star it on GitHub:
HexmosTech
/
git-lrc
Free, Unlimited AI Code Reviews That Run on Commit
git-lrc
Free, Unlimited AI Code Reviews That Run on Commit
AI agents write code fast. They also silently remove logic, change behavior, and introduce bugs -- without telling you. You often find out in production.
git-lrc fixes this. It hooks into git commit and reviews every diff before it lands. 60-second setup. Completely free.
See It In Action
See git-lrc catch serious security issues such as leaked credentials, expensive cloud operations, and sensitive material in log statements
git-lrc-intro-60s.mp4
Why
- 🤖 AI agents silently break things. Code removed. Logic changed. Edge cases gone. You won't notice until production.
- 🔍 Catch it before it ships. AI-powered inline comments show you exactly what changed and what looks wrong.
- 🔁 Build a habit, ship better code. Regular review → fewer bugs → more robust code → better results in your team.
- 🔗 Why git? Git is universal. Every editor, every IDE, every AI…
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