Your Code Reviews Itself: Here's How It Works

Maneshwar built git-lrc, a tool that does exactly this. It's a micro AI code reviewer that kicks in on every commit, scans your changes, and tells you what's broken before you've finished your coffee. It's not your typical linter yelling "you're missing a space"—it reads the context, understands what you're trying to do, and gives you sensible feedback.

The problem it solves is real: human code reviews are slow, sometimes subjective, and junior developers often learn different things from different reviewers. An AI running locally on every commit makes feedback instant and consistent. It's like having a senior developer looking over your shoulder while you write.

The beauty of git-lrc is that it's lean. It's not some enterprise solution that demands your firstborn to turn on. It runs on your machine, integrated directly into git, no ridiculous dependencies or 20-step setup. You plug it in and that's it—the rest is automatic.

But the real genius move is that it's not just a linter on steroids. It learns from your style, your conventions, the decisions you make. The more you use it, the more it understands what you mean. It's like having a colleague who gradually becomes telepathic.

Sure, it doesn't replace actual person-to-person review—that carries human value that no AI fully covers. But it cuts through the noise, speeds up the mechanical feedback phase, and leaves room for human reviews to discuss architecture and design, not "you forgot a comma."

For teams working async or spread across time zones, a tool like this is a game-changer. No more waiting days for feedback on trivial issues. Code gets polished in real time.