executing-plans

Batch plan execution automates task implementation in controlled stages with explicit reviewer prompts between batches. It enforces real-time status tracking and iterative verification to improve predictability and oversight across development cycles.

Blocker handling during plan execution is managed through enforced status tracking and interim reviews. The workflow pauses batch processing at review checkpoints, allowing you to identify, address, and verify blockers before proceeding to the next batch.

Yes, batch plan execution supports safe integration with version-control workflows. It works alongside Git-workflow practices, allowing staged implementation and iterative task verification before safely committing changes between batches.

Task status tracking during plan execution enforces explicit states like in_progress and completed. It monitors real-time progress across batched tasks, verifying completion at each checkpoint before advancing to subsequent workflow stages.

Yes, batch execution requires a predefined written plan as input. You load the existing plan, review it for gaps, and then begin executing the first batch of tasks with checkpoints for structured, staged implementation.