When something breaks in production, the first reaction is almost always the same. The AI generated bad code. The AI missed something. The AI was not good enough. It is a reasonable reaction. The AI wrote the code. The code has a bug. The connection feels obvious. But the connection is wrong. And as long as developers keep making it, the actual problem stays unsolved. What actually happens when AI generates a bug GitHub Copilot does not generate bugs on purpose. It does not have bad days. It does not get careless. It generates based on what it can see and what constraints it has to work with. When the constraints are missing, it fills the gaps with assumptions. And assumptions in code look fine until they do not. A missing type guard on an API response. A component that handles state it should not be touching. A form that submits without validation because nobody defined what validation must look like. None of these are Copilot failures. They are constraint failures. The bug was always possible.…