orchestrator

Multi-agent workflow coordination requires an orchestrator to spawn parallel worker agents, monitor their progress, handle blockers, and aggregate deliverables across all tracks. This enforces explicit steps for planning, execution, verification, and artifact persistence.

Managing parallel worker agents for an epic involves structured phases: planning tracks, spawning autonomous workers, monitoring progress, conducting quality checks, and completing artifact delivery. Cross-track communication is enforced to resolve dependencies.

You need multi-agent orchestration for automation workflows when an epic involves multiple tracks with cross-track dependencies. It coordinates planning, worker spawning, progress monitoring, blocker handling, and final deliverable aggregation.

Yes, the orchestrator handles blockers and verifies bead completion autonomously. It enforces explicit orchestration steps including quality checks, cross-track communication, and artifact persistence to ensure all worker agents meet defined epic requirements.

Multi-agent orchestration supports artifact persistence and progress reporting. It coordinates cross-track dependencies, monitors parallel worker agents, and enforces artifact delivery to ensure all epic deliverables are aggregated and verified.

A dedicated orchestrator enforces explicit steps for planning, spawning workers, monitoring progress, and verifying bead completion. Manually managing parallel agents risks missing cross-track dependencies, quality checks, and artifact persistence required for complex epics.