How to Fix a Vibe Coded App for Production

You described what you wanted, the AI wrote it, and something real appeared on screen. Lovable, Bolt, Cursor, Replit, v0 — they collapsed the distance between an idea and a running app to an afternoon. That is a genuine achievement, and it is worth saying plainly before we say anything else: getting to a working prototype this fast was impossible two years ago.

Then people started using it. A payment failed silently. A page that loaded fine for one person timed out for thirty. Someone signed up and saw another customer's data. You went to add a small feature and three unrelated things broke. The app still works, in the sense that it boots — but you have stopped trusting it, and that is the moment a prototype quietly becomes a liability.

This note is about closing that gap: the vibe code rescue that turns an AI-generated prototype into something you can put your name behind. Not a rewrite from scratch, and not throwing away what you built. A clean-up that keeps the idea and replaces the parts that cannot carry weight.

Why vibe coded apps wobble under real customers

The failure is not that the AI wrote bad code. It is that it wrote code to satisfy your last prompt, not to survive your next thousand users. Each prompt is answered in isolation. Nothing holds the whole system in mind — so the same logic gets reimplemented three different ways, the database query that was fine with ten rows crawls at ten thousand, and edge cases nobody described simply do not exist in the code.

The numbers around this are no longer anecdotal. Veracode's 2025 GenAI Code Security Report tested code from more than 100 large language models across dozens of tasks and found that roughly 45% of AI-generated code contained a security vulnerability — and these mapped to the OWASP Top 10, the most exploited classes of flaw in web applications. Cross-site scripting failed 86% of the time in their tests; log injection, 88%. Crucially, newer and larger models did not do better, which tells you this is structural to how these tools generate code, not something the next release quietly fixes.

That matters because a prototype's audience is forgiving and tiny — usually just you. Production's audience is not. The same code that demoed beautifully is now exposed to people who will paste odd characters into your forms, hammer your endpoints, and stumble into the path you never tested. The wobble was always there. Real traffic just found it.

The four faults a rescue has to find first

Before touching anything, a proper vibe coding cleanup service maps what you actually have. Across the apps we and others in this space see, the same four faults recur — and naming them is half the cure.

• Tangled layers. Business rules, database access, and the interface are woven into the same files. Touch one screen and three others break, because there is no seam between them. This is why your app feels brittle every time you change it.
• Security left open. Hard-coded API keys, missing input validation, authentication that checks the front door but not the windows. To fix AI generated code security, you have to assume the model left the OWASP basics undone, because the evidence says it usually did.
• No tests, no net. Bugs are found by customers, not by the build. There is nothing guarding your sign-up, checkout, or login flows — so every change is a gamble you can only resolve in production.
• Performance that collapses under load. Queries with no indexes, no caching, work done on every request that should be done once. Fine for a demo. A timeout when thirty people arrive together.

Whether the app came out of Lovable, Bolt, or Cursor, the shape of the rescue is the same. A Lovable Bolt Cursor app rescue is less about the tool that built it and more about the discipline it skipped.

What it actually means to make a vibe coded app production ready

"Production ready" is a vague phrase that hides specific promises. When we say it, we mean five concrete things, and you should hold any vibe code refactoring agency to the same list:

• Secure — secrets out of the code, every input validated, auth and permissions that actually gate access, the OWASP Top 10 closed.
• Scalable — it holds its shape when traffic multiplies, because the slow paths have been found and fixed before customers find them.
• Maintainable — the layers are separated, so a change to one feature does not ripple into others, and a new developer can read it.
• Tested — automated checks stand guard over the flows that earn or lose you money, so a broken build never reaches a customer.
• Compliant — if you hold personal data, GDPR is handled; if you touch health or payments, the relevant rules are met, not hoped for.

None of these is visible in a demo. All of them decide whether the app survives its first real month. The move from AI prototype to production is the work of making the invisible promises true.

The rescue, step by step

A clean-up that respects your existing work follows a sequence. Skip a step and you are decorating, not fixing.

1. Audit and map

Senior engineers read the whole codebase, draw the architecture as it really is, scan for security gaps, and flag duplicated or hallucinated code. You come out of this with an honest picture — what is salvageable, what has to be rebuilt, and what it will take. No work starts before you have seen this and agreed to it.

2. Triage the critical bugs

Not every issue is equal. The flaws that lose data, leak access, or break a payment get fixed first. The cosmetic ones wait. This is where a vibe code fixer developer earns their keep — knowing the difference, and not getting distracted polishing while the roof leaks.

3. Refactor into clean layers

This is the heart of it. Business logic is pulled out from the database code and the interface, so each can change without the others shattering. Duplicated logic is unified. The patterns the AI invented at random are replaced with ones a team can rely on. The app behaves the same to a user — but it is now something you can build on.

4. Harden and optimise

Secrets move into proper configuration. Inputs get validated. The slow queries get indexes and caching. You clean up your vibe coded MVP not by changing what it does, but by changing what it can withstand.

5. Add tests and a deploy pipeline

Automated tests go around the money-paths first. A CI/CD pipeline runs them on every change, so a regression is caught by a machine at 2am instead of a customer at noon. This is the difference between shipping nervously and shipping calmly.

6. Document and hand back

The notes your team should have had from day one — how it is structured, how to run it, where the bodies are buried. So the rescue is not a dependency on us; it is something you own.

When you do not need a full rebuild — and we will tell you

Here is the honest part. Not every vibe coded app needs a rescue, and a clean-up shop that says yours does without looking is selling fear. If your app has a handful of real users, no sensitive data, and you are still testing whether anyone wants it — keep iterating. The fastest route to learning is more prototype, not premature hardening. Spending on production engineering before the idea is proven is its own kind of waste.

The line to watch is this: the moment a customer's money or data depends on the app, the maths flips. A silent payment failure is lost revenue you may never notice. A data leak under GDPR is a fine and a reputation you cannot rebuild with a prompt. Two-out-of-three odds on an exploitable flaw are fine for a sandbox and unacceptable for anything holding a card number.

So the test is not "is my code messy" — it is "what happens to a real person when this breaks." If the answer is "nothing much, I fix it and move on," you are fine. If the answer is "they lose money, or I do, or someone's data is exposed," that is the signal that the prototype has outgrown its origins and needs to be made to hold weight.

That is the whole job of a rescue: to take the thing AI helped you prove, and make it dependable enough that you stop thinking about it — so you can go back to thinking about your customers instead. The idea was always yours. We just make sure it stands up when people lean on it.