5 Bugs I Keep Finding in AI-Built Apps (and How to Fix Them)
The five bugs that show up in almost every app built with Lovable, Bolt, Cursor or Claude Code, and the quick fix for each.
I've been testing apps built with Lovable, Bolt, Cursor and Claude Code, actually clicking through them like a confused first-time user. The same short list of bugs turns up in almost every one. It makes sense: AI is great at building the path you described and quietly skips everything around the edges. Here are the five I see most, with the fix for each.
1. Forms that accept nothing
Required fields with no real validation. I've hit onboarding wizards that let you press Continue with the name field empty and cheerfully create an account for "nobody." Fix: validate required fields before advancing, and disable the button until they're filled.
2. Error messages nobody sees
A failed login shows its error in a corner of the screen, detached from the form. The user is staring at the button they just clicked, assumes it's broken, and leaves. Fix: put the error next to the field, or use a conventional toast position (bottom-right).
3. Validation that won't let go
The opposite problem: you enter a perfectly valid value, the app clearly accepts it (it even calculates with it), but the red "must be greater than 0" error stays on screen anyway. Now a working form looks broken. Fix: re-validate the field on change, and clear the error the moment the input becomes valid.
4. Placeholders that look broken
"Coming soon" cards and empty states rendered so dark or low-contrast that they read as a failed-to-load image. Users can't tell "intentional" from "broken." Fix: give empty states enough contrast, an icon, and a short label so they obviously look on purpose.
5. Forms that don't actually send
The worst one, because it's invisible. The contact, quote or upload form looks like it works, even shows "success," and never transmits anything. You're losing leads or customer data and have no idea. Fix: submit it end to end and confirm it actually arrived where it should.
Get a second pair of eyes before your users do
AI is brilliant at building and bad at breaking its own work. Before real users hit your app, have someone actually try to break it.
That's what we do at TestTorch: a real, named human walks through your app, finds what's broken or confusing, and sends you a recorded session plus a written fix-list, so you catch this before your first real user does. If you built something with AI and want a second pair of eyes before launch, take a look at TestTorch.