task-management

You can track feature subtasks and dependencies using a CLI-driven system that manages JSON schemas for tasks and subtasks, ensuring accurate status counts and runtime validation. It provides a router-based CLI to monitor progress and query next active items safely.

Dependency-aware task validation checks task.json and subtask.json structures to detect inconsistencies and blockers. It ensures subtasks only become active when their dependencies are satisfied, enabling safe parallel work and accurate progress visibility for product development teams.

You structure atomic subtask breakdowns by creating task.json and subtask.json files with schemas defining status, dependencies, and completion criteria. The CLI system validates these structures at runtime to maintain integrity and detect blockers across your software project.

Yes, you can use this task-management system for parallel work in product development. It applies dependency-aware planning to ensure subtasks become active only when dependencies are satisfied, allowing teams to work in parallel without encountering blockers or status inconsistencies.

The best way to validate task structures and detect blockers is using a CLI system that performs runtime validation on JSON schemas. It checks task and subtask dependencies to identify inconsistencies, ensuring accurate counts and statuses before subtasks become active.

Subtask statuses may not update correctly due to JSON schema inconsistencies or unsatisfied dependencies. The CLI system applies runtime validation to detect these blockers, ensuring subtasks only become active when dependencies are met and maintaining accurate progress counts.