executing-plans

Automating task execution for multi-step plans works by grouping related tasks into parallelizable sub-agents based on subsystem or feature domain. This approach manages execution, progress tracking, and verification including automated tests and code review.

The best way to run parallel task processing involves grouping independent task groups by subsystem, such as authentication or billing. This allows concurrent execution, reducing redundant code exploration and enabling efficient context sharing among sub-agents.

Task orchestration handles context sharing by allowing agents working on related tasks within the same subsystem to share their investigation context. This mechanism prevents redundant code exploration and accelerates parallel execution across related features.

Yes, you can use automated task management for features spanning API and database changes. The system groups API-related tasks for one agent and database tasks for another, running them in parallel to streamline complex implementation plans.

Verification for plan execution includes automated tests, manual checks, developer experience quality assessments, and code review. The system manages these verification steps alongside task execution and progress tracking.

You need a markdown plan file to start automating task orchestration. The system executes the plan defined in your markdown file, grouping related tasks into parallel sub-agents for efficient implementation.