Vibe code rescue
for regulated industries

Vibe code rescue means taking a prototype built with an AI coding tool (Lovable, Bolt, Cursor, or Claude) and re-engineering it so it can actually ship in a regulated industry. The prototype usually demos fine. Then it meets a real HIPAA audit, a security review, or real user load, and the cracks show: no access controls, no audit trail, no error handling, no real architecture. We audit what the AI produced, keep the parts that hold up, and rebuild the rest. We wrote about where the line falls in The 80/20 Problem in Vibe Coding.

AI tools generate functional code, not compliant code. A vibecoded healthcare app typically ships without encryption at rest, role-based access controls, audit logging, a BAA-backed infrastructure, or proper error handling, all of which a HIPAA audit requires. The demo looks done because the missing 20% is invisible until someone audits it. That last 20% is most of the real engineering. See why vibecoded healthcare apps fail HIPAA.

Yes. We audit what the tool generated, keep what holds up (often the UI and the data model), and re-engineer what doesn't: authentication, access controls, audit logging, integrations, and the architecture needed to scale past the demo. You get a production system, full source code, and ownership, not another prototype. See taking a legal tech prototype to production.

We keep what works and rebuild what doesn't. The first 80% an AI tool produces (UI, basic CRUD, simple auth) often ships fine. The last 20% (production authentication, database-level access controls, audit trails, edge-case handling, compliance architecture) is where the real engineering is, and where AI-generated code usually falls short. The audit tells you exactly what is worth keeping and why.

We don't quote before we've read the code. The first call is free; then an audit of the codebase gives you a fixed scope, a fixed price and a timeline in weeks, and the audit is credited toward the build. Most rescues take 4 to 8 weeks. We work at AI-native velocity: our DEA compliance rescue took roughly 120 engineering hours, not the months a traditional agency would quote.

Fix what's there whenever we can. The audit comes first and it tells you, file by file, what stays, what gets hardened and what has to be rewritten. In most AI-built apps the UI, the data model and much of the business logic stay. We don't rebuild what already works.

We can make it ready to hold PHI, and the path depends on where the data lives. If it runs on Lovable Cloud, the PHI has to move: Lovable's data processing agreement has customers agree not to provide PHI. If it runs on your own Supabase, that means the Team plan with the HIPAA add-on and a signed BAA, plus row level security on every PHI table, private storage, a Vercel BAA if Vercel handles PHI, and a BAA or no PHI for every other vendor. Sometimes an isolated PHI backend beside the existing app is simpler. Details in is Supabase HIPAA compliant.

Yes. Many AI-built apps are web apps that need a native shell to ship to phones. We wrap them with Capacitor where that fits, set up TestFlight and Google Play internal testing for your testers, and handle the store review requirements, from privacy labels to account deletion. The developer accounts are created in your company's name.