Fixes that break other things
The AI patches the symptom; the cause sits in code it can't see all at once.
✓Find the root cause, fix it once, add a test.
For founders building with Lovable, Bolt, Cursor & co.
The AI says "Fixed!" and something else breaks. Prompts pile up, launch keeps slipping. I find the real causes, fix them in the code, and get your app live — without starting over when it isn't needed.
CodeRabbit · 470 pull requests
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more major issues in code written with AI.
It isn't you. AI tools write code that demos well and breaks with real users, real data and real payments. Read more
Where AI-built apps usually get stuck
The AI patches the symptom; the cause sits in code it can't see all at once.
✓Find the root cause, fix it once, add a test.
Sessions drop, webhooks fail, rows duplicate — fine in the demo, broken with real users.
✓Rebuilt properly where it matters, left alone where it works.
Pages that took a second now take ten.
✓Queries, indexes and caching fixed.
A web app wrapped badly, or rejected by Apple and Google.
✓A store-ready build, submitted and approved.
How it works
Your app or project, what you built it with, and what keeps breaking.
I look at the code and tell you what's worth keeping, what isn't, and what it takes to launch.
Fixed in your repository, tested on the paths that broke, live in the stores — and kept running if you want.
No obligation. I read every message myself and reply within one working day.
Usually not. Most AI-built apps have a solid 80%; I fix the parts that break and keep the rest. If something is worth rebuilding, I'll say so and why.
Yes — through its GitHub export or repository. You keep your project; I work in the code.
Yes. I'll leave the code in a state the AI understands better, with notes on what not to touch.
I check the usual gaps — database rules, exposed keys, logins — as part of the work. For a security check on its own, see the security page.