I Scanned Hundreds of AI-Generated Codebases. Here's What Keeps Showing Up.

I Scanned Hundreds of AI-Generated Codebases. Here's What Keeps Showing Up. There's a moment every vibe coder knows. You've been building for six hours straight. Cursor has been finishing your sentences. The app actually works , you can click through it, the data saves, the auth flow runs. You push to production feeling like you've unlocked a cheat code for software development. Then a user emails you. Or worse , they don't. They just leave. I've spent the last several months doing something most developers skip: scanning AI-generated codebases before they ship. Not after. Before. AI analysis followed by human engineers who know exactly what to look for. And the same vulnerabilities keep appearing not occasionally, not in bad codebases, but constantly, across projects built by smart people using the best tools available. This isn't a piece about AI being bad. I use AI tools every day. This is about a specific, predictable blind spot one that's costing founders users, trust, and in some