AI-built app rescue
Built it with Cursor, Claude, Lovable, Bolt or Replit, and now real users and real money are involved? We make AI-built apps safe to run.
63Digital audits, fixes and hardens apps built with AI coding tools so they're safe in front of real users. We build with AI every day, and our own pre-launch audits keep finding the same problems: missing transactions, race conditions, slow queries, secrets in the repo and development settings on public hosts. We find them in your app, fix them, and add the checks that stop them coming back.
What we do
Pre-launch audit
A focused review of security, data integrity, concurrency, performance and deployment before real users arrive, with a prioritised list of what to fix.
Stabilise & fix
We fix the findings in your codebase: transactions, locking, query performance, authentication and environment configuration.
A pipeline that holds the line
Tests, secret scanning and dependency checks on every change, so fixes stay fixed while you keep building with AI.
Take over or pair
Hand the app to us to run and extend, or keep building with your AI tools while we review and harden what ships.
How to, from jobs we've done
How to audit an AI-built app before launch
Before an AI-built app meets real users, check eight things: passwords and keys left in the code or its history, whether the live site still thinks it's in development, every way in, whether multi-step saves succeed or fail together, two people acting at once, database load on busy pages, automated safety checks, and a second review.
Why AI-generated code breaks under real traffic (and how to fix it)
AI-generated code usually works for one user and fails when two arrive at once. It checks, then acts, with nothing stopping a second user between, trusts a quick look-up to prevent duplicates, and queries the database inside loops. The fix: re-check under a lock, claim each job in one step, lock in a consistent order and batch queries.
Is this for you?
A good fit when
- ✓Your app works in demos but you're nervous about real users or real money
- ✓It was built with AI tools and nobody has reviewed the code as a whole
- ✓It takes payments, bookings or stores personal data
Probably not when
- –It's still a throwaway prototype (keep iterating, and call us before you launch)
- –You want a full rebuild by default (we'll only recommend one if the code really can't be saved)
Related: Applied AI, Bespoke platforms
Common questions
Can you fix an app built with Cursor, Lovable, Bolt or Replit?
If the code lives in a repository, we can review it like any other codebase. We'll tell you up front if it's built on a stack we wouldn't take on, rather than learning on your time.
Is AI-generated code insecure?
Not inherently. We build with AI assistance every day. But it's written to make the feature work, not to survive two users at once, a retried webhook or a leaked config file. Those gaps need a deliberate review.
What does an AI-built app audit cover?
Secrets and environment configuration, authentication and access, transactions and payment flows, concurrency, query performance, tests and the deployment pipeline. Our pre-launch audit guide walks through the checklist.
Do I have to stop using AI tools?
No. Keep building with them. The fix is guard-rails: tests, code review, a pipeline that blocks secrets and known-vulnerable packages, and conventions written down so the assistant follows them.
Built it with AI? Let's make it safe to launch.
Tell us what the app does and how it was built. We'll tell you where the risks are and what it will take to fix them.