planning-with-files-es

Maintain project planning state across multiple AI sessions by using persistent markdown files like task_plan.md, findings.md, and progress.md to track phases, log discoveries, and record chronological progress. This prevents context loss and forgotten objectives during complex multi-step tasks.

Your AI loses track of objectives during complex multi-step tasks because the required operations exceed the context window, causing forgotten progress and repeated mistakes. Persistent markdown planning files solve this by storing task phases, findings, and decisions externally.

Recover task context after a context window reset or session interruption by running session catch-up automation scripts that read the persistent task_plan.md, findings.md, and progress.md files to restore the previous workflow state and validate restart points.

You need persistent markdown files for task tracking when working on research projects, multi-phase development, or bug investigations requiring more than five tool calls. This approach ensures state recovery and context persistence across long sessions where context window limits cause data loss.

Yes, you need the orjson dependency installed to run the initialization and session catch-up automation scripts. These scripts manage the creation and recovery of task_plan.md, findings.md, and progress.md files in your project root directory.