AI Writes Code. But Who Checks It?

AI coding tools can generate thousands of lines of code in seconds. But they have no idea if that code actually works. Or if it is safe to run. Tools like Cursor, Claude Code, and Copilot are changing how we write software. What used to take hours now takes minutes. But there is a problem almost nobody talks about. AI can write code. It cannot guarantee that code is correct, secure, or production-ready. And many teams are discovering this the hard way. The Hidden Problem with AI-Generated Code AI is very good at producing code that looks correct . But under the surface, problems often appear: lint errors failing tests missing type checks insecure patterns poor edge case handling broken dependency assumptions If you have used AI coding tools for real projects, you have probably seen something like this: AI writes code ↓ You run tests ↓ Things break ↓ You fix what the AI missed The faster AI gets, the more this problem scales. AI increases development speed. But it also increases the sur