Your AI says, "Security issue fixed.” What do you check before shipping?
You ask your AI coding tool to fix a security issue.
It updates the code. The app still works. The warning disappears.
Would you feel comfortable putting real customer data into it?
I’m building VibeSafe, and this is a question I’m thinking about: how can a founder understand what changed—and what still needs checking?
Here’s an example from the code shown in our demo screenshots.
A database query inserts user input directly into the query text. VibeSafe flags the risk and explains why it matters. A suggested change separates the input from the query using parameters.
That gives you something specific to review. But applying a suggested fix doesn’t establish that the whole app is secure.
Our post-fix screen labels its updated score “Estimated” and asks you to rescan. Even a new scan has limits: you still need to test how your app behaves.
One practical check for an app with private user data:
Create two test accounts in your own app. Add a private record under account A. Check whether account B can access or change it when your permissions say it shouldn’t.
A working login screen alone doesn’t answer that question.
VibeSafe helps flag potential code security issues and explains findings and suggested fixes in plain English. It’s a starting point for review, not a guarantee that an app is safe.
I’m looking for five people building with Lovable, Bolt, Cursor or Replit to try it on their own code and tell me where the results help—or leave them confused.
You can explore it and create a free account here:
https://www.vibesafe.info/
Before you ship, what evidence makes you trust a security fix: a rescan, a repeatable test, or another developer’s review?
For me, it would take evidence that the important parts of the app behave correctly. A working demo and a good scanner score are useful, but I’d want to understand what was tested.
Before bringing in paying customers, I’d ask:
Can users access only what they’re supposed to?
I’d create two test accounts and check whether one can see or change the other’s private information. I’d also check that a normal user cannot perform admin actions. Hiding an admin button isn’t enough—the server must enforce the restriction.
Are secrets and customer data protected?
I’d check that private API keys and database credentials aren’t exposed in browser code or public files, and that database permissions match what each user should be allowed to do.
Does the payment flow work beyond a successful checkout?
I’d test failed payments, cancellations, and repeated payment notifications. Paid access should depend on verified payment, and processing the same notification twice shouldn’t create duplicate charges or benefits.
Were the security fixes actually verified?
If an AI tool changes something, I’d review the change, rerun the scan, and repeat the test that exposed the problem. A higher score doesn’t establish that the underlying issue is resolved.
Will I notice a failure and be able to recover?
I’d want error alerts, a working support contact, and a way to roll back a bad release. If the app stores customer data, I’d also want a backup I’ve successfully tested restoring.
The depth of review should match the stakes. An app handling sensitive information or complicated permissions deserves an experienced professional’s review.
This is part of what I’m working on with VibeSafe: helping founders find potential issues and understand what to investigate. Scanning supports that process; it doesn’t replace testing or professional judgment.
I’d feel ready when the critical flows had been tested, serious findings had been addressed and checked, and the remaining risks were understood. No tool can promise zero risk.
What’s the one check you would never skip before accepting a paying customer?