Vibe-Coded MVP Rescue: Scanner Report to Fix Sprint
A working demo plus a scary scanner report is not unusual anymore. The useful move is to turn that report into a production hardening sprint that protects the product without throwing away everything that works.
The gap is not finding problems. The gap is deciding what to fix, what to keep, and what needs a rebuild.
A rescue sprint should focus on architecture, backend paths, RBAC/RLS, payment state, deployment, logging, and the parts of the product users already rely on.
A rescue sprint begins by separating product risk from scanner noise.
Many vibe-coded MVPs have the same pattern: the screens look good, the demo path works, and the first users can click through the product. Then a scanner or technical review surfaces exposed keys, weak rules, fragile backend logic, or deployment gaps.
That does not automatically mean the product should be scrapped. It means the codebase needs a senior pass before more budget goes into features.
- Confirm what is actually broken and what is only a warning.
- Identify the user paths tied to revenue, sensitive data, and admin control.
- Decide which parts can be patched and which need structural replacement.
The sprint should target the foundation, not random cleanup.
A rescue sprint is not a generic refactor. It is a focused implementation pass that closes the issues most likely to hurt launch, trust, or revenue.
For AI-generated and vibe-coded products, that usually means backend access checks, tenant boundaries, database shape, payment and entitlement state, secrets, admin routes, error handling, deployment discipline, and a practical rollback path.
- Patch RBAC/RLS and server-side route guards.
- Move secrets and privileged keys out of client-facing code.
- Stabilize Stripe webhooks, subscription states, and access logic.
- Add logging, backups, environment separation, and deploy checks.
If your prototype already works but the foundation feels risky, review it before adding more features.
We help founders turn vibe-coded and AI-built MVPs into safer, more maintainable SaaS products by checking architecture, authentication, RBAC/RLS, database exposure, payment states, deployment, logging, backups, and production blockers.
Rescue the product
For unstable MVPs, brittle AI-generated codebases, broken backend logic, or products that work in demo but fail under real users.
Audit the codebase
Get a senior engineering review that separates launch blockers, fix-first items, technical debt, and rebuild-vs-rescue decisions.
Check security risk
Before users enter data or pay, check auth, roles, row-level security, secrets, admin routes, webhooks, and deployment discipline.