afc:tasks

Task decomposition converts a high-level implementation plan into a structured list of executable tasks with dependency tracking and parallelization directives. It enforces a Directed Acyclic Graph (DAG) structure to manage dependencies and streamline development workflows.

A Directed Acyclic Graph (DAG) in task dependency management is a structural validation ensuring task dependencies form a non-circular chain. This structure guarantees that parallel execution tasks do not conflict and that implementation steps proceed without deadlock.

Parallel execution validation checks tasks marked for concurrent execution to ensure they do not conflict over file access. This process uses validation scripts to verify the DAG structure and maintain safe workflow automation during implementation.

Automated task generation supports agile development by converting feature plans into granular, executable tasks. It validates task coverage against feature specifications and analyzes past decompositions to improve granularity and avoid future conflicts.

Ensuring task coverage against feature specifications requires validating the decomposed task list directly against the original plan. This retrospective analysis confirms all requirements are covered and improves future task decomposition granularity.