Fix Your MVP App

We Rescue Broken Code & Software Projects.

Most MVPs are tested with limited data, low traffic, and ideal conditions. When real users arrive, issues like poor error handling, unoptimized queries, missing edge cases, and weak infrastructure cause crashes or slowdowns.

First, identify whether the issue is code quality, infrastructure, or third-party services. A structured code audit helps pinpoint failures quickly without rebuilding the entire application.

AI generated code rarely needs a complete rebuild. We run a code audit to find hallucinated dependencies, security holes, and missing error handling that AI tools often skip. Most AI-built apps become production-ready through surgical fixes rather than starting from scratch, saving you months of rework.

Yes. The problem with AI-generated code isn't usually the syntax; it's the lack of "architectural glue." AI often builds features in isolation that fail to communicate properly under load. We don't just patch the holes; we refactor the AI output into a professional, modular architecture that can actually handle concurrent users and future updates.

This is a common scenario for us. We perform "codebase forensics" to map out how your app was built, even if the code is messy or undocumented. While having a handover is ideal, senior engineers can reverse-engineer the logic and dependencies to gain full control of the system. Lack of documentation is a hurdle, but it isn't a reason to start from scratch.

You should consider a code audit if the app crashes under load, behaves differently in production, is hard to maintain, or when scaling and security issues start affecting users.