The “Stale /Plan” Problem in Coding Agents

Towards AI
Generative AI

If you are using any coding agent for long running implementation/deubgging tasks you might have already run into this problem: The agent writes a plan. You agree on the plan. Implementation starts. Then reality changes in implementaion/testing phase. A test fails. A reviewer asks for a different direction and you make changes outside planning mode. You correct the agent mid-flight. The agent adapts the code, but the plan file quietly stays behind. That stale plan looks harmless until it becomes the source of truth again when you resume the agent session again at later stage.