Over-editing: why AI code assistants make unnecessary changes

A developer named pella documents how LLM-based code editors often modify far more than needed to solve a problem, introducing risk and complexity. The insight matters for anyone relying on AI tools to write or refactor code—understanding this failure mode helps you catch when your assistant has gone off the rails.