Task Breakdown and Dispatch

Task breakdown systematically decomposes feature requests into logical phases and subtasks, assigning each to appropriate AI roles like Architect or Developer. It manages dependencies and generates a task manifest for workflow coordination.

Dependency mapping visualizes relationships between subtasks to identify critical paths and parallelizable work. This ensures smooth handoffs and tracks progress through a defined state machine for efficient workflow automation.

Intelligent role assignment dispatches subtasks to relevant AI roles such as Architect, Developer, or QA. It supports feature development, bug resolution, refactoring, documentation, and CI failure analysis by defining deliverables and estimating effort.

Generating a task manifest creates a task.yaml file detailing subtasks, statuses, and acceptance criteria. This manifest facilitates workflow coordination by providing a structured format for tracking deliverables and managing task dependencies.

Task decomposition handles CI failure analysis by breaking it into subtasks, but acceptance criteria are defined during the manifest generation phase. The process systematically maps deliverables and estimates effort to ensure clarity before dispatching roles.

Subtask decomposition breaks complex tasks into logical phases, enabling intelligent dispatching to appropriate AI roles and mapping dependencies. This approach identifies parallelizable work and critical paths that a single role assignment would miss.