Your AI-Built App Is Breaking. Here's What to Do Next.

A lot of apps getting built right now start the same way: someone describes what they want to an AI coding tool, and in a weekend there's something working. Then a few weeks or a few hundred users later, small changes start breaking unrelated features, and nobody can quite explain why. If that's where you are, here's what's actually going on and what to do about it.

Why this happens

AI coding tools are very good at producing code that looks like it works — the app loads, the button does the thing, the demo goes fine. They're not naturally good at the parts that don't show up in a demo: handling edge cases, validating input, securing data, or structuring the code so one change doesn't ripple into three unrelated bugs. That gap is invisible right up until real usage finds it.

Signs your app needs a rescue, not a patch

• Small, unrelated changes keep breaking other features.
• Nobody — including whoever built it — can fully explain how parts of it work.
• You're afraid to touch certain parts of the code, or to let anyone else touch it.
• You don't know whether it's secure, and you're not sure how you'd find out.
• It worked fine with a handful of users and started misbehaving as real usage grew.

What a rescue actually looks like

• Audit — I read the actual code and check for security issues before touching anything, so the plan is based on what's really there.
• Stabilize — fix what's actively breaking first, so the app stops failing on real users while the rest gets sorted out.
• Decide — a plain-language, fixed-price recommendation: patch it, rebuild the fragile parts, or start over — whichever is actually cheaper and faster, not whichever sounds more dramatic.

None of this requires having built it the “right” way in the first place, or even knowing what language it's written in. Tell me what's breaking and I'll tell you plainly what it'll take to fix it.