AI App Rescue · Vibe-Code to Production

You Built It With AI. We'll Get It to Production.

Your Lovable, Bubble, or vibe-coded app got you 80% there. Then it started breaking every time you add a feature, and you're not sure it's secure. We take AI-built apps to real, production-grade products: we keep what works, fix what's fragile, and ship it. We're the team that knows how to code and how to drive AI.

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AI made building easy. It made shipping hard.

You're not wrong to have used AI. It genuinely got you most of the way there: a working prototype, fast, without a team. That's real, and it's a good thing.

The trouble starts when you try to build on it. Every new feature has a good chance of breaking something that already worked, because there are no tests to catch it and the code underneath is shaky. Then come the parts that decide whether real users can trust your app: security, payments, database performance, and getting it to run at scale. That is the unglamorous work AI skips, and it is exactly what we do for a living.

This isn't a hypothetical for us. Founders already come to us with this: an AI-built app that got them started and then hit the wall. It's become a real, recurring part of what we're asked to do.

Where AI-built apps actually break

We see the same problems again and again. If two or three of these sound familiar, you're at the wall.

Every new feature breaks something else

You add one thing and two others stop working. With no tests to catch it, you find out from your users. This is the number one reason founders come to us.

No real testing

Little or no testing, manual or automated. Nothing proves a change is safe before it ships, so every release is a gamble.

Shaky code quality

Code that runs once but is hard to read, reuse, or build on. It slows every future change and quietly hides bugs.

Security gaps

Missing access controls and other gaps that are easy to ship and expensive to find the wrong way. The riskiest problems are usually the ones you can't see.

Deploying and scaling in production

Getting it live and keeping it stable under real traffic is a different job from making a demo run. A lot of AI-built apps stall right here.

Payments

Billing, subscriptions, and webhooks are unforgiving. AI-built payment flows often miss the failure cases that cost you real money.

Database performance

Queries that fly on ten rows crawl on ten thousand. Missing indexes and slow patterns show up right when you start getting traction.

What a rescue actually looks like

We don't start by telling you to throw it all away. We keep what works, and fix or rebuild only what needs it.

Assessment

We review your app, including the code, the architecture, and the break-points above, and tell you honestly what's solid, what's fragile, and what's a real risk.

Keep / fix / rebuild call

A clear recommendation for each part: keep what works, fix what's fragile, rebuild only what truly has to be. No blanket rewrite pitch.

Hardening

We fix the things that actually break real apps: the fragile code that breaks on every change, missing tests, security, payments, database performance, and scaling, in priority order.

Production hardening & tests

Tests, monitoring, and the infrastructure to run reliably under real users, so the next feature doesn't take the whole thing down.

Handoff or ongoing

We hand it back clean with documentation, or keep building with you. Your code, your call, and zero lock-in.

The person who knows how to code and how to drive AI has the upper hand here. That's the team you want fixing an AI-built app.

When you DON'T need a rescue

It's a weekend prototype. If you're still testing whether anyone wants this, keep iterating cheaply in your AI tool. Don't harden something you might throw away.
You have no users yet. Production-grade engineering is for when real people depend on it. Before that, speed of learning beats robustness.
The fix is one afternoon. If it's a single bug or a small change, we'll tell you that up front instead of scoping a project.

We'll tell you honestly if you don't need us yet. That candor is the whole point.

Why we're the team for this

Rescuing an AI-built app takes both skills: real production engineering, and a genuine understanding of what the AI was trying to do. We have both.

We build production software

20+ engineers, 7+ years, 80%+ client retention. We ship real, production-grade products end-to-end and maintain them, the exact discipline AI-built apps are missing. See full project delivery.

We build AND drive AI

We build AI ourselves. Our SaaS Formester has an AI form builder, agentic workflows, and RAG in production, and we run our own AI agents. So we understand what an AI-built app was reaching for, not just how to patch it.

We keep what works

We're not a rip-and-replace shop. We assess, then fix or rebuild only what needs it, because starting over throws away the 80% the AI got right.

Frequently Asked Questions

Can you fix an app I built with Lovable, Bubble, or Cursor?

Yes, that's exactly what AI App Rescue is for. Whether it came out of Lovable, Bubble, Cursor, v0, or general vibe coding, we assess what you have, identify the fragile and risky parts, and take it to production. We keep the parts that work rather than forcing you to start over.

Do I have to rewrite everything?

No, and we'll push back if someone tells you that you do. AI usually gets you a genuine 80%, and throwing it all away wastes that. We assess each part and give you a keep / fix / rebuild call, then rebuild only what truly has to be. Most rescues are far less than a full rewrite.

How do you know if my vibe-coded app is secure?

We review it specifically for the security holes we see in AI-built apps, most often missing access controls (like row-level security) that leave data exposed. Security review is part of the assessment, so you'll get an honest read on where you stand before committing to a larger project.

How much does it cost to fix AI-generated code?

It depends entirely on what's fragile. A security fix and some hardening is very different from a partial rebuild. That's why the assessment comes first: we scope the actual work and price it transparently, and if the fix is small or you don't need us yet, we'll tell you rather than sell you a project.

How long does a rescue take?

Anywhere from a few days for targeted hardening to several weeks for a larger stabilization or partial rebuild. After the assessment we give you a realistic timeline tied to the specific issues in your app, prioritized so the riskiest problems (usually security and data) get fixed first.

What's the difference between a rescue and just hiring developers?

A rescue starts with an honest assessment of AI-built code and a keep/fix/rebuild plan, rather than assuming a clean-slate build. If what you actually need is ongoing engineering after that, we can continue with dedicated developers, but we start by figuring out what's really wrong, not by scoping the biggest possible project.