plan-task

To break down a vague feature request into executable task plans, you convert user stories into a wave-based execution format. This maps discrete tasks to specific files and enforces observable success criteria for multi-file feature work.

Wave-based planning organizes feature development into sequential execution waves. It builds a dependency graph to coordinate multiple contributors across different modules, ensuring tasks are executed in the correct order with verifiable success criteria.

You can map feature requirements to discrete tasks and source files by structuring the plan to explicitly associate each task with specific modules. This ensures every task has defined dependencies, observable success criteria, and explicit verification steps.

Yes, you can coordinate dependencies and parallel work streams by generating a dependency graph that defines execution waves. This allows multiple contributors to work on separate files concurrently while maintaining verifiable integration points.

You need a dependency graph for task planning when handling multi-file feature work where execution order matters. It prevents integration conflicts by mapping task dependencies and organizing them into verifiable, wave-based execution phases.