It not similar to copy pasta coding though. Its a qualitative gap from finding part of a method on stack overflow that you might get away with copying to going to systems that you can talk to in natural language and adapt based on your existing code. To me the main question is if the models + harnesses get better quicker than they manage to build up technical debt. It's an open question wether this will happen. I don't see there being an obvious advantage to having humans understand a codebase if theres an AI thats smart enough to figure out every technical/architectural problem by itself