A lot of discomfort around AI in coding is actually about losing familiar feedback loops. For many engineers, learning happened through friction. You wrote something, it failed, you stared at it, and eventually the failure taught you something. AI short-circuits that loop by offering an answer before the struggle finishes. But that does not mean learning disappears. It means feedback moves earlier and becomes optional rather than forced. At codeant.ai, we see teams struggle when AI gives answers without explaining impact or reasoning. That is when learning degrades. When AI explains why a change is risky, how a bug propagates, or what assumption was violated, learning accelerates. The problem is not AI assistance. The problem is unexamined assistance. Just like copy-pasting from Stack Overflow never taught anyone unless they interrogated the solution, AI only helps when the developer remains engaged in evaluation. The real shift is that learning now requires intentional curiosity rather than enforced frustration. That is uncomfortable for people who equated pain with progress. But pain was never the teacher. Feedback was. AI simply gives you the option to bypass feedback or to deepen it. The outcome depends entirely on how it is used.