Your AI-built app demos fine. That's the problem.
Bracket Mind rescues vibe-coded apps built with Lovable, Bolt, Cursor, Replit and Antigravity for founders whose product works on the happy path but doesn't fail safely. We audit the code, write a defect register, fix silent failures, secrets and authentication, and make it ready for real customers. One rescued Bolt.new prototype, an FCA compliance scanner, now has 250+ tests.
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Why do AI-built apps break in production?
Vibe coding with Lovable, Bolt, Cursor, Replit or Antigravity is genuinely good at producing something that works on the happy path. What they don't produce is a system that fails safely, and the damage is almost always invisible from the outside: the app looks finished right up until a real customer, a real payment or a regulator leans on it.
The pattern repeats across every rescue we've taken on. Build errors get silenced so the deploy goes green. API keys and database credentials end up committed to the repository. Authentication is written but never actually enforced on the routes that matter. Rate limiting fails open instead of closed. Background jobs report success while doing nothing at all.
None of this shows up in a demo, and none of it shows up in your test suite, because there isn't one.
Step 1: Audit before touching anything
We read the codebase function by function and write you a defect register: what is broken, how badly, and what it would cost you if it stayed broken. You get that document whether or not you hire us for the fix, so you can take it to another developer if you'd rather.
Step 2: Fix the silent failures first
Not the visible bugs. The things that report success while doing nothing are what actually sink a product, because nobody finds them until a customer does. On one rescue, an ingestion job had been building an empty knowledge base for months while logging success on every run.
Step 3: Lock down secrets, auth and data access
We rotate anything that was committed to git, enforce authentication on every route that assumes it, close the fail-open paths, and check that your database actually restricts what a logged-in user can read.
Step 4: Make it hold
We add tests around the parts that broke, a real CI pipeline, error tracking, and health checks that assert on content rather than status codes, because a 200 response tells you nothing about whether the work happened.
Proof: systems we built
RegTech · AI-Built App RescueProduction
FCA Compliance Scanner
An FCA compliance pre-checker for UK financial promotions — inherited as a Bolt.new prototype that looked finished and wasn't. Now it works, and it says so when it can't.
- Rescued a Bolt.new prototype
- Severity decided in code, not by the model
- 250+ tests on the compliance engine
Founder-built · Read the case study
Questions buyers ask
Can you fix an app built with Lovable, Bolt, Cursor or Replit?
Yes, it's a core specialty. AI-generated apps typically need security hardening, real authentication enforcement, secret rotation and a deployment pipeline before they're safe for paying customers. We keep what's good and rebuild what isn't, rather than starting over and charging you twice.
Can you fix a vibe-coded app?
Yes. A vibe-coded app usually has the right shape and the wrong safety: errors silenced, keys in the repository, authentication that isn't enforced. One we inherited, an FCA compliance pre-checker built as a Bolt.new prototype, had all three, plus an ingest job that had reported success for months while producing nothing. We audited it, fixed the silent failures first, and it now has 250+ tests.
How do I know if my AI-built app is actually broken?
The common signals: your build passes with TypeScript or lint errors suppressed, your .env file is in the repository, anyone can hit your API routes without a session, or a background job has never once reported a failure. Any of those means the app is not enforcing what it appears to enforce.
Do I have to rebuild from scratch?
Usually not. AI tools tend to get the shape of the product right and the safety of it wrong. Most rescues keep the existing structure and replace the parts that don't hold, which usually costs less than a rewrite and keeps the work you've already paid for.
What do I get at the end?
A defect register documenting everything we found, the fixes applied against it, tests around what broke, a working deployment pipeline, and a short written handover so the next developer isn't starting cold. You keep the defect register even if someone else does the fixing.