orchestrate

Multi-agent parallel task coordination works by decomposing complex tasks into subtasks and dispatching them in parallel batches to standalone agents or agent squads. It uses dependency graphs and batch scheduling to ensure reproducible outcomes.

Yes, you can use dry-run and plan-only modes to test parallel agent orchestration safely. These modes generate risk management reports and preview plans without executing changes, allowing you to validate dependency wiring and batch scheduling beforehand.

The best way to manage dependencies for subtask dispatch is by applying dependency graphs to the task decomposition process. This wires subtasks together so batch orchestration respects execution order and synthesizes results correctly.

Yes, multi-agent orchestration supports optional worktree isolation for parallel execution. This allows standalone agents or team-based squads to operate within isolated worktrees, preventing file conflicts during concurrent task processing.

To decompose a complex workflow for batch scheduling, you define the task and apply orchestration templates that split it into manageable subtasks. The system then wires dependencies and schedules these subtasks in parallel batches.

You should avoid parallel batch orchestration when tasks require strict sequential execution or lack clear dependency boundaries. If subtasks are tightly coupled, batch scheduling and worktree isolation cannot prevent conflicts and ensure reproducible outcomes.