A code review in plain English
I read the whole codebase and send you a written list of what’s dangerous, what’s fragile and what’s fine, before you pay for any fixes.
App rescue · for AI-built apps
I'm Sanjeev Singh, a full-stack developer building software since 2016. If you built your app with Lovable, Bolt, Cursor, Replit or ChatGPT and it now breaks, leaks data or won’t take payments, I review the code, fix what’s dangerous and get it live on your own hosting. I keep what works instead of starting over. You get a fixed quote within 24 hours, and you own the code.

01The usual problem
The AI got you to a working demo in a weekend. Now every fix breaks something else, and real users are waiting.
Sound familiar? Tick what applies to you.
02What you get
I read the whole codebase and send you a written list of what’s dangerous, what’s fragile and what’s fine, before you pay for any fixes.
Secret keys moved to the server, database rules locked so users see only their own data, and logins that can’t be bypassed.
Checkout, subscriptions and webhooks set up and tested in live mode, so a payment always unlocks what the customer bought.
The real cause of each bug found and fixed in the code, with a test where it matters, so the fix stays fixed.
Deployed to your domain and accounts, with backups and error alerts, off the builder’s preview link.
Duplicate files merged, dead code removed and a short README written, so the app can keep growing.
03What changes
The app you designed, safe for real users.
04Overview
Usually, yes. Most apps built with AI coding tools have a sound design and a few dangerous gaps. Sanjeev Singh is a full-stack developer who fixes AI-built apps made with Lovable, Bolt, Cursor, Replit or ChatGPT. He reviews the code, fixes what is unsafe, keeps what works and gets the app live on your own hosting. He has been building software since 2016, and every project starts with a fixed written quote within 24 hours.
Vibe coding means building software by describing it to an AI rather than writing the code yourself. It is fast for screens and demos, but it often misses the parts users cannot see. The most common problems are secret API keys exposed in the browser, database rules that let any logged-in user read other users’ data, payments that work in test mode but not live, and fixes that create new bugs elsewhere.
The process starts with a code review. Sanjeev reads the whole codebase and sends a written list, in plain English, of what is dangerous, what is fragile and what is fine, before any fixes are paid for. Security comes first: secret keys move to the server, database rules such as Supabase row-level security or Firebase rules are locked down, and logins are made impossible to bypass.
Next come payments and reliability. Stripe checkout, subscriptions and webhooks are set up and tested in live mode, so a payment always unlocks what the customer bought. Each bug is fixed at its root cause, with a test where it matters. Finally, the app moves off the builder’s preview link to your own domain and hosting, with daily backups and error alerts.
His background is production software. He architected CRUD Review, a SaaS with a Node.js API, a Next.js web app and a Flutter app live on both app stores, and built Dominique Bakers, a live ordering system with Razorpay payments. Those are the same layers, authentication, data and payments, that AI-built apps most often get wrong.
After the fixes, the code is organised and documented, so you can keep building with AI tools or hand it to a developer later. He works with founders in the UAE, Australia, the US and the UK, under an NDA if you want one, and invoices in US dollars against milestones.
05Ways to work together
The whole codebase reviewed, with a written list of risks in plain English and a fixed quote to fix them.
Exposed keys, open database rules and broken logins fixed before real users arrive.
Stripe checkout, subscriptions and webhooks working in live mode.
Moved off the builder’s preview to your own domain and hosting, with backups and alerts.
An AI-built mobile app fixed, tested on real phones and submitted to the App Store and Google Play.
06Proof
07In their words
Rated on Fiverr
5.0
23 reviewsRead them
Sanjeev has been instrumental across several projects. He understands the vision from very little direction, then brings commitment, technical skill and original thinking to turn it into a finished product.
Sanjeev brought extraordinary technical knowledge to the project. He communicated professionally, shared clear updates, discussed every hurdle openly and always found a practical way forward. I was very happy working with him.
Working with Sanjeev was a great experience.
01 / 03
08Your time, my time
Your time · New York
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My time · Lucknow, India
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Your office hours (9 AM–6 PM)When I'm on calls and chat
09Your options
What happens to your app
Working with meKept, reviewed and fixed
Security
Working with meChecked line by line
Cost
Working with meFixed quote after the review
Who owns the code
Working with meYou, in your own repo
After launch
Working with meThe same person, one message away
| Working with me | Keep prompting the AI | Rebuild with an agency | |
|---|---|---|---|
| What happens to your app | Kept, reviewed and fixed | Patched, one prompt at a time | Thrown away and rebuilt |
| Security | Checked line by line | Rarely checked | Checked |
| Cost | Fixed quote after the review | Credits, and your time | A full rebuild |
| Who owns the code | You, in your own repo | You, if you exported it | Sometimes the agency |
| After launch | The same person, one message away | You and the AI | A support ticket queue |
10Free guide
AI coding tools are good at screens and bad at the parts users can’t see. Check these before real people sign up.
| Check | Why it matters |
|---|---|
| Code in a Git repo you own | You can move, fix and back it up anywhere |
| Your own domain and hosting | The builder’s preview link isn’t made for production |
| Daily database backups | One bad prompt can delete real data |
| Error alerts | You hear about crashes before users email you |
| Privacy policy and terms | App stores and payment providers ask for both |
Starting fresh instead? See MVP development.
11How we work
A short call on goals, audience and what success looks like.
Scope, timeline and price agreed in writing before work starts.
Working pages shared early on a staging link, refined with your feedback.
Go-live, speed and SEO checks, then handover. You own the code, domain and accounts.
12Questions
Yes. These tools write standard code, usually React or Next.js with Supabase or Firebase. Once the code is in a Git repo you own, I can review it, fix it and deploy it anywhere.
Usually not. Most AI-built apps have a sound design and a few dangerous gaps. I keep what works and fix the rest, and I’ll tell you plainly if a part really needs rewriting.
Check three things. Are any secret keys visible in the browser’s developer tools? Can a logged-in user load another user’s data by changing an ID in the URL? Do payments still unlock features if a webhook fails? If you’re not sure, that’s what the code review answers.
Yes. I leave the code organised and documented, with the risky parts protected, so you can keep building with AI or hand it to a developer later.
It depends on the size of the app and what the review finds. The review comes first, then a fixed quote with the exact timeline for the fixes.
I invoice in US dollars, wherever you are, against milestones agreed in the quote. You don’t pay for a stage until you’ve seen it working.
Yes, before you share the code if you want one. The code stays in your repo and your accounts throughout.
Question not here? Ask me directly.
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