Vibe Code Rescue, fixing apps built with AI
You built an app with Cursor, Lovable, Bolt, v0, Replit or Claude. It works in the demo, but in production it breaks, duplicates data or leaves you wondering who can see your users' information. We review it, find the real problems and fix them.
Does any of this sound familiar?
- The app works on your machine, but with real users it freezes, slows down or crashes.
- Orders, payments, emails or records get created twice and nobody knows why.
- You do not know if there are exposed keys, users who see other people's data or unprotected forms.
- Every change you ask the AI for fixes one thing and breaks another.
- The database, hosting or API bill keeps growing without more users.
How we solve it
We start with a review: we read the code and check the database, authentication, environment variables and how the app is deployed. We test what happens with many users at once, with a repeated click or when an external API fails.
Then we write a report about your app, ordered by severity: what to fix now (security, data loss), what to tidy up next and what can wait. Only then do we fix things, one problem at a time, with a test that shows each one is solved.
Asking the AI to review its own work is not enough: it does not reproduce failures with simultaneous users, it cannot see what happens in production and it does not answer for the result. That is why we check it ourselves, with tests and with your real data.
What it can include
- Nobody sees what they should not. Keys and secrets exposed in the repository or the browser, users who reach other people's data (IDOR), badly configured row level security (RLS) in Supabase or Firebase, SQL injection, XSS, CSRF and open CORS. All reviewed against the OWASP Top 10.
- Two users at the same time do not overwrite each other. Race conditions that leave stock below zero, a slot booked twice or a wrong balance.
- Nobody gets charged twice. Double clicks on a button (double submit), automatic retries, webhooks delivered more than once, duplicate emails or orders. Each thing happens only once (idempotency and deduplication).
- Requests and bills do not explode. Repeated API calls, needless polling, N+1 queries, screens that reload in a loop and database or API costs that grow without more users.
- It holds up when you grow. An app that gets slow or goes down when more users arrive: indexes, connection pooling, queues and background jobs, rate limiting, memory leaks and deadlocks.
- If something fails, you find out and can go back. Errors that do not disappear silently, retries with exponential backoff, monitoring and alerts, backups you can actually restore.
- The next time you ask the AI for a change, the old things do not break. Code structure, technical debt, vulnerable dependencies, database migrations, separate development and production environments, automated deployment (CI/CD) and automated tests.
- Someone who knows your app. Ongoing support for when something fails or you want to keep adding features with AI without losing what already works.
Who it makes sense for
Founders, entrepreneurs and small teams who built a product with the help of AI (vibe coding) and now have real customers using it. Also companies where someone built an internal tool with AI and the business now depends on it.
You do not need to know about systems. If the app is already live, or about to be, it is better to review it before a user, or someone with bad intentions, finds the problem first.
Frequently asked questions
Do I have to throw the app away and start over?
Almost never. We first review what is there. If the base is good, we fix what is wrong and tidy up the rest. If something cannot be fixed at a reasonable cost, we tell you why before suggesting a rebuild.
Do I need to know how to code to hire this?
No. You tell us what the app does and what worries you, and we review the code, the database and the infrastructure. We write the report so that a non-technical person can follow it.
Which AI tools and technologies do you review?
Apps built with Cursor, Lovable, Bolt, v0, Replit, Windsurf, GitHub Copilot, ChatGPT or Claude Code, on stacks like React, Next.js, Node, Python, Supabase, Firebase or Vercel. If you used something else, ask us.
What do I get after the review?
A report with the problems we found, ordered by severity and explained in plain words, plus a plan of what to fix first. Then you decide if we fix it, your team does, or both.
Do you offer support after the fixes?
Yes. You can keep ongoing support with monitoring, bug fixes and help when you ask the AI for new changes, so the same problems do not come back.
Is this happening to you?
Tell us how you work today and we will see together what makes sense. The first conversation does not commit you to anything.