orchestrator

To automate parallel task execution, the orchestrator decomposes multi-task workflows into independent subtasks and spawns multiple agents concurrently. This parallel delegation minimizes latency and accelerates overall completion for complex multi-step work.

You need multi-agent orchestration when a large feature requires 2 or more independent subtasks running in parallel. The orchestrator coordinates specialized agents like engineers, testers, and reviewers concurrently to achieve faster delivery.

Lifecycle coordination tracks progress across parallel agents by managing task queues and enforcing quality gate handoffs. The orchestrator monitors task-status updates throughout the non-sequential execution process to maintain traceability.

Yes, the orchestrator enforces mandatory working directory context usage as a robust safety check. It coordinates artifact creation and performs persistence checks to ensure files are properly written to the repository.

The best way to split a large feature into parallel task deployments is using the orchestrator to decompose work into independent subtasks. It spawns concurrent agents and monitors results via task-status for rapid delivery.

No, task-management orchestration here specifically satisfies strict requirements for parallel delegation and non-sequential execution. It applies only to 2 or more independent subtasks requiring concurrent execution to achieve faster overall completion.