AI app rescue is the process of auditing, stabilizing, and hardening an AI-generated codebase that broke, stalled, or failed once it reached real users — without discarding the working code and starting over. Most vibe-coded apps stall at the same point: functional in the demo, unstable under real accounts, real payments, and real traffic, with the original AI coding agent unable to make further progress on its own.
The pattern shows up in the data. A scan of over 1,400 vibe-coded production apps found 65% had security issues and 58% carried at least one critical vulnerability. An analysis of 8.1 million pull requests found technical debt increases 30–41% after teams adopt AI coding tools — and the debt accumulates invisibly, because the code passes basic tests and looks reasonable on review while errors concentrate in authentication, payment logic, and edge cases that only surface under real load.
Our rescue fixes that gap in priority order. We read the code, run the app, and fix the highest-risk issues first — then stabilize, test, and document the rest, so you keep your users, your data, and your momentum instead of starting over.
- Free repo audit
- Security score, findings, and a fixed quote before any work starts.
- Priority-order fixes
- Critical bugs and security holes closed first, always.
- No full rewrite
- Working features stay working throughout the rescue.
- Fixed-price scope
- Quoted from the audit findings, not an hourly rate.
