planning-with-files

To maintain AI coding agent context across clear commands, use a persistent file-based planning system that saves session state in markdown files on disk, ensuring continuous progress on complex tasks without losing prior context.

Recover an interrupted AI coding session using automated session recovery, which reads unsynced context from previously saved planning files like task_plan.md, findings.md, and progress.md to seamlessly restore workflow continuity.

Yes, you can run parallel AI coding tasks by using isolated plan directories for each session, allowing multiple complex software development workflows to operate simultaneously without overwriting each other's findings and progress.

File-based session management for software development workflows is a technique that stores task plans, research findings, and progress tracking as markdown files, enabling persistent state management and context preservation for multi-step coding agents.

Initialize a new planning session for a complex coding task by running the initialization script with your project name as an argument, which sets up the required markdown files and directory structure for context preservation.