Anyone who has debugged with an AI model knows this loop. You paste the error, ask for a fix, and get a confident patch. It looks right. The error moves somewhere else. You paste the new error, get another patch, and a few rounds later the code is messier and nobody, human or model, can say what the bug actually was. The model usually isn't the problem. "Fix this" quietly asks for four different things at once: a way to reproduce the bug, a place where it lives, a reason it happens, and a che...