AI Code Audit
An AI code audit, explained, and what it actually finds.
An AI code audit is a security and correctness review of code written by AI tools like Lovable, Cursor, Bolt or Claude Code. It checks the things AI reliably gets wrong: access rules, auth flows, exposed secrets and quiet logic errors.
From $750, fixed quote, report in about a week. See full pricing
AI code fails differently to human code.
Human developers write bugs that crash. AI writes bugs that work. The interface behaves, the demo goes well, and the missing piece is invisible: the authorisation check that was never generated, the database rule that was never configured, the key with more power than the code needed. We have scanned 1,236 AI-built apps and logged 12,205 findings. Only 21 apps came back clean. The pattern is consistent enough that we know exactly where to look.
What you get.
The AI failure pattern checklist
Missing row-level security, unprotected endpoints, client-side auth checks, over-privileged keys and skipped validation, the recurring holes in generated code.
Access and permission review
Every route and query checked for who can actually call it, not who the interface suggests can.
Secrets audit
What shipped to the browser, what is in the repo history, and what each exposed credential can do.
Logic and edge cases
Payments, quotas, roles and state changes traced by a person who understands what the app is for, which is the part AI review tools cannot do.
Prioritised report and re-review
Severity-rated findings, each with a concrete fix, and a free re-test once you have applied them.
The kind of thing we find
One app exposed database functions named generate_license_key and generate_transfer_token, callable by anyone holding the public key. A stranger could ask the database to mint a valid licence. The AI had built the feature correctly and skipped the part where only the server may call it.
How it works.
- 01
Scope
Tell us what built the app and what it does. Fixed quote up front.
- 02
Audit
Code review plus live testing of the running app from the outside.
- 03
Report
Prioritised findings with fixes, in about a week, walked through on a call.
- 04
Re-review
We verify your fixes closed the holes. No extra charge.
Common questions.
- What is an AI code audit?
- A senior engineer reviews code that AI tools generated, looking for the failure pattern specific to generated code: missing access control, broken auth, exposed secrets and logic that works in the demo but not under real users.
- Can't I just ask another AI to review the code?
- AI review catches style issues and obvious bugs, and we use automated passes too. But the serious findings need someone who understands what the app is supposed to do, because a missing access rule looks identical to an intentional public table unless you know the product.
- My app works fine. Do I still need an audit?
- Working is not the same as safe. Nearly every serious finding we log comes from an app that worked perfectly. The owners were not aware, because a missing rule causes no error. It just leaves the data open.
- What does an AI code audit cost?
- From $750, quoted fixed before we start, with the re-review of your fixes included.
Related services.
Let's build something real.
Tell us about your app or idea. You'll get a clear plan and a fixed quote back within 24 hours.