We Made AI Too Agreeable. Here's What It Cost Us.

The Plan That Should Have Died Last month I spent three hours planning a feature. Twelve tasks. Dependencies mapped. Outcomes defined for each one. A beautiful, thorough, completely unnecessary plan. The feature itself was wrong. Not the implementation. The concept. I was building a manual selector for a system that already had automatic routing. Three hours of careful planning for something that should have been cut after five minutes of honest scrutiny. Here's what went wrong: I asked my AI coding assistant to help me plan, and it planned. Brilliantly. Thoroughly. Without once asking whether the thing was worth planning at all. That's the problem with a single voice. It does what you ask. It doesn't push back. And the most valuable output isn't the answer. It's the argument. If you've ever finished a sprint and realized half the tickets shouldn't have existed, you know this feeling. The plan looked right. The execution was clean. The waste was invisible until it was already spent. On