planning-with-files

File-based planning maintains context for complex multi-step tasks by creating markdown files like task_plan.md, findings.md, and progress.md to record goals, discoveries, and session logs externally, preventing context loss across extensive tool interactions.

Session recovery automatically reads previously created markdown planning files to restore context, ensuring continuity. It retrieves recorded progress and findings from your last session so you can seamlessly resume long-running software development tasks without losing track of decisions.

Yes, python3 is a required dependency to execute the scripts that implement this file-based planning task management system. Your environment must have python3 installed to automatically generate and manage the markdown tracking files.

The best way to structure external memory is using dedicated markdown files: task_plan.md for structured goals, findings.md for discoveries, and progress.md for session logs, ensuring organized progress and clear oversight for projects with extensive tool interactions.

You should use markdown files for task planning when embarking on large research projects or developing new features that require extensive tool interactions, as standard context windows lose track of decisions, whereas persistent external memory ensures systematic recording.

Yes, file-based planning is specifically designed to manage research projects with multiple session interruptions. It automatically attempts to recover context from markdown files, ensuring continuity and organized progress tracking every time you resume your work.