From AI prototype to production-grade software

An AI coding tool, like Claude Code, Codex, Antigravity, OpenCode or Cursor, builds a working POC in one afternoon. But a POC only takes you so far, because it runs your happy path and stops mostly there. Anything you didn’t explicitly ask for, like error handling, edge cases or security, simply isn’t in it. The moment other people start using it, a different set of rules applies: real traffic, real devices, real data and real attackers.

That gap is what our vibe code cleanup services close. As a software house that has shipped production systems for nearly a decade, we take what AI got you to and make it something you can put in front of customers without it breaking, leaking or falling over.

Why AI-generated code breaks in production?

AI writes the happy path. You describe what you want, it builds exactly that: the flow where everything goes right. What it usually skips are the edge cases, like the old browser, the phone that isn’t yours, or the user who does something you never pictured. An experienced developer writes those in by reflex, because years of shipping taught them what goes wrong. Most problems with vibe coding start here. A prototype doesn’t have that instinct, and neither does the person prompting it if they’ve never built for other people before.

The deeper problem is that you can’t ask for what you don’t know exists. If you don’t know that data should be filtered on the backend rather than the frontend, you won’t think to ask the AI for it. Some tools, like Claude Code, will flag things on their own, but a non-technical person still can’t judge whether the warning matters or what to do about it. The app looks correct on screen while quietly doing the wrong thing underneath. The tools aren’t the problem here. This is simply why a second, experienced set of eyes matters before an AI-built app goes live.

The vibe coding security gap you can’t see

Security is where this hurts most, because the failures are invisible until they aren’t. The most common vibe coding security risks we find in AI-built apps:

• Leaked keys and secrets – API keys placed in the frontend instead of the backend, where anyone can read them. Automated scanners find them within hours, and the bill lands on your account shortly after.
• Permissions enforced in the wrong place – The backend returns everyone’s data; the screen just shows you your slice. It looks filtered. It isn’t. Anyone who looks past the interface can read every other customer’s records.
• No real authorization model – Access rules bolted onto the frontend, where they can be bypassed, instead of enforced on the server.

These vibe coding vulnerabilities share one trait: if you don’t have the concept in your head, you won’t prompt the AI to fix it, and even if it did, you’d have no way to verify the fix. Catching vibe coding security vulnerabilities before launch is exactly what an audit by someone who does this for a living is for. Secure vibe coding comes down to someone checking the things you didn’t know to check, not to writing a better prompt.