team-swarm

You coordinate parallel code implementation and QA review by orchestrating a department-based multi-agent workflow that assigns specialized roles, wires task dependencies, and runs cross-validation protocols. This prevents agents from modifying the same file simultaneously and ensures regression checks before completion.

Agent swarms handle task dependencies by creating tasks upfront and wiring them with blockedBy and addBlocks relationships. This dependency graph prevents premature execution of downstream tasks until prerequisite work is complete, ensuring correct execution order during complex refactors.

The best way to plan feature development across specialized roles is to break the work into Architecture, Implementation, QA, and Documentation departments. Staffing agents by specialty with structured kickoff and review protocols ensures coordinated delivery without overlapping file modifications.

Yes, you can use multi-agent task orchestration for cross-validation and documentation updates. The workflow staffs dedicated Documentation and QA departments, running staged review and closing protocols to catch mismatches and verify that documentation reflects implemented code changes.

Yes, YAML frontmatter-defined identification is required to assign agent roles within the team coordination workflow. This metadata specifies which department each agent belongs to, enabling correct task routing and dependency wiring across the multi-agent workflow.

You should avoid department-based agent teams for trivial or single-file software changes that lack explicit dependencies. The overhead of creating tasks, wiring blockedBy relationships, and running staged coordination protocols is designed for non-trivial, multi-step feature development and coordinated refactors.