Your AI-built app works in the demo.
I make it work in production.
Vibe-coding tools get you to a prototype fast — then leave the same production blockers behind. I audit what the AI built and fix what's dangerous.
★★★★★
5.0 rating · trusted by 35+ founders
$ bilal audit ./your-saas-app
Scanning AI-generated codebase…
CRITICAL API key exposed in client bundle src/lib/openai.js:4
CRITICAL Database has no Row Level Security supabase: 6 tables
HIGH API routes callable without auth /api/* : 9 endpoints
HIGH Stripe webhook signature not verified
MEDIUM No error handling on 23 async calls
12 issues found → prioritized fix list ready in 5–7 days
Rescuing apps built with
Track record
Security
The pattern
What I find in almost every AI-built app
Exposed API keys
Secrets hardcoded in the frontend where anyone can read them — the single most common issue in AI-generated code.
Missing or broken auth
Routes and API endpoints anyone can call, sessions that never expire, roles that don't actually restrict anything.
No database security
Supabase and Postgres tables without Row Level Security — every user can read every other user's data.
Zero error handling
The happy path works in a demo; the first real user hits an edge case and the app silently breaks.
Fragile Stripe billing
Webhooks that drop events, subscriptions that never sync, and payments that can be bypassed entirely.
Localhost-only deploy
No CI/CD, no monitoring, no domain or SSL — a prototype, not a product you can charge money for.
What you get
Clarity on what's broken — and exactly what it costs to fix
No vague warnings. Every issue rated by severity, explained in plain English, with a fixed quote before I touch a line of your code.
Get the auditThe single most common hole in AI-built Supabase apps — without it, every signed-in user can read every other user's data.
Error tracking, monitoring and CI/CD so failures surface instead of breaking silently.
Learn moreThe process
How the rescue works
01.
Audit — 5 to 7 days
I go through your entire codebase — auth, APIs, database, secrets, architecture — and deliver a report with every issue rated by severity, in plain English.
02.
Prioritized fixes
Security first, then data integrity, then reliability. You approve the fix list before I write a line of code, with a fixed quote attached.
03.
Production hardening
Error tracking, monitoring, CI/CD and proper deployment on Vercel or AWS with your domain and SSL. You get a product, not a demo.
Muhammad Bilal is the developer you call when your AI-built SaaS isn't ready for production. He audited our app, found critical security issues, and walked us through every risk in plain English. He doesn't just patch things, he tells you what's actually wrong.
Founder, SaaS Startup — United States · Upwork, 5.0★
Production-Ready Audit
- Full security audit of your AI-built app
- Auth, API & database (RLS) review
- Exposed keys & secrets scan
- Code quality & architecture report
- Prioritized fix list with severity levels
- Delivery in 5 to 7 days
Ready to find out what's really in your codebase?
Fixed price. 5–7 day delivery. No obligation after the audit.
Start With the $499 Audit35+ founders already shipped safely
Building from scratch instead? See MVP Development · Need to go live? Launch & Deployment · More questions? Full FAQ
Rescue FAQ
QUESTIONS
In most cases it's worth fixing — AI tools like Lovable, Bolt and Cursor usually produce a workable foundation with specific, repairable problems (security, auth, data handling), not a total loss. A rebuild only makes sense when the core architecture can't support your product. That's exactly what the $499 Production-Ready Audit answers: you get an honest fix-vs-rebuild verdict with evidence, before you spend money on either path.
No — fixes are applied in a staged way. Every change goes through a separate branch, gets tested against your existing features, and is reviewed with you before merging. Security hardening (removing exposed keys, adding auth checks, enabling Row Level Security) is done so that legitimate user flows keep working exactly as before.
The standard way is read access to your GitHub or GitLab repository — you can revoke it anytime. Secrets and API keys are never shared in chat; they stay in your environment variables. I'm happy to sign an NDA before seeing any code, and everything I find in the audit stays confidential.
I work with what the AI built. The goal of a rescue is to keep the product you already have, fix what's dangerous, and refactor only the parts that genuinely block production — not to throw away working code and bill you for a rewrite. Where a section does need rebuilding, you'll see it in the audit report with the reason.
A written report covering security (exposed keys, auth, database RLS), reliability (error handling, edge cases), architecture and deployment readiness — every issue rated by severity and explained in plain English. It ends with a prioritized fix list and a fixed quote for the fixes. Delivered in 5–7 days, and there's no obligation to continue after the audit.