task-orchestration

Task orchestration coordinates dependency-aware parallel execution by identifying which tasks are ready to start, batching them, and launching specialists in parallel. It automatically routes tasks to appropriate specialists and monitors progress until completion.

Dependency-aware orchestration handles task sequencing by reading task states, detecting which tasks have unmet dependencies, and cascading state progression through batches. This eliminates manual coordination overhead and ensures correct execution order.

Yes, orchestration uses automatic specialist routing via recommend_agent with fallback, directing each task to the appropriate specialist. Failed routing attempts fall back to defaults, ensuring all tasks get processed.

The orchestration tracks task execution through state queries and produces task summaries upon completion, including line-by-line execution plans. Progress monitoring integrates with cascade-triggered completion across batches.

Orchestration enables automatic cascade progression—tasks advance through batches based on dependency resolution without manual triggering. Once dependencies are satisfied, ready tasks launch in parallel automatically.