Vibe-code rescue

Your AI built a prototype. We make it production-grade.

Lovable, Bolt, v0, Cursor, Replit: AI got you to a working demo, fast. We take it the rest of the way: secure, scalable, tested, and safe to run a real business on.

The 80% AI skips

Vibe coding nails the demo and none of the hard part.

A prototype has to impress once. Production software has to hold up every day, with real users, real data, and someone actively trying to break it. That gap is where we live.

Auth that actually holds

Sessions, permissions, and access control that survive a real user trying doors they shouldn't.

Data integrity

Validation and a sane data model so records don't silently corrupt the moment traffic is real.

Security

The things attackers probe first (injection, exposed keys, missing rate limits), closed properly.

Scale

What breaks past the demo's three users: N+1 queries, no caching, blocking calls, memory leaks.

Tests

A suite so a fix in one place doesn't quietly reintroduce a bug in another.

Real architecture

State, structure, and boundaries that a team can actually build on next quarter.

How the rescue works

Audit first. Then rebuild what's worth keeping.

We never quote a rewrite before we've read the code. The audit tells us (and you) exactly what's salvageable, so you're never paying to rebuild something that already works.

Start with an audit
01
AuditWe read the whole codebase and hand you a written map: what's solid, what's fragile, and what's an outright security or data risk.
02
RefactorWe rebuild the shaky foundations (architecture, state, data model) without throwing away the parts that already work.
03
HardenAuth, input validation, error handling, security, and a real test suite so it survives contact with real traffic.
04
ShipWe deploy it properly, hand over documentation, and keep it healthy on an optional maintenance retainer.
Sound familiar?

Signs you need a rescue.

If two or more of these are true, your app isn't done; it's a demo wearing a production costume. That's fixable.

Get a code audit
  • It works beautifully in the demo and falls over with real users.
  • You're afraid to change anything in case the whole thing breaks.
  • There are no tests, and every fix seems to create two new bugs.
  • Auth and permissions were an afterthought, or aren't really there.
  • You need to launch or start charging, but you can't trust it in front of customers.
What you walk away with

Deliverables, not vibes.

  • A written audit of what's solid, fragile, and risky. Yours to keep either way.
  • A re-engineered codebase with real architecture and a sane data model.
  • Authentication, validation, and security hardened to production standard.
  • A test suite and CI so the fixes stay fixed.
  • Deployed properly, with docs, and an optional maintenance retainer.
Straight answers

Rescue questions, answered.

What tools do you rescue from? +
Lovable, Bolt, v0, Cursor, Replit, plain AI-generated code, and no-code exports (Bubble, FlutterFlow, and friends). If AI or a builder got you most of the way, we can take it the rest of the way.
Will you rewrite everything from scratch? +
Almost never. The point of a rescue is to keep what works and rebuild only what doesn't. A full rewrite is a last resort, and we'll tell you honestly if that's genuinely the cheaper path.
How long does it take? +
It depends entirely on the state of the code, which is exactly why we start with the audit. Small hardening jobs are days; a full re-architecture is weeks. You'll know the shape of it after the audit, before you commit to the build.
What does it cost? +
A fixed price for the audit, then your choice of a fixed project price or a retainer for the build. No open-ended hourly surprises.
Can you add features too? +
Yes. Most rescues turn into an ongoing relationship where we harden what's there and build what's next, on a retainer.
Start a project

Let's build something you can run your business on.

An automation, a new app, a website, or a rescue: start with a call. Tell us the problem; we'll tell you the smartest way to solve it.

What happens on the call Thirty minutes. You describe the problem and the stack. We tell you what we'd build, roughly what it costs, and whether we're the right fit. If we're not, we'll say so.