The testing angle keeps coming up but it's sort of missing the point. I spent a few weeks poking through public repos built with AI tools — about 100 projects. 41% had secrets sitting raw in the source. Not in env files. In the code itself. Supabase service_role keys committed to GitHub, .env.example files with actual credentials, API keys hardcoded in client-side fetch calls.
No test catches any of that. Code works, tests pass, database is wide open.
It's not even a correctness problem. It's that the LLM never thought about rate limiting, CORS headers, CSRF tokens, a sane .gitignore — because nobody asked it to. Those are things devs add from muscle memory, from getting burned. The AI has no scars.
No test catches any of that. Code works, tests pass, database is wide open.
It's not even a correctness problem. It's that the LLM never thought about rate limiting, CORS headers, CSRF tokens, a sane .gitignore — because nobody asked it to. Those are things devs add from muscle memory, from getting burned. The AI has no scars.