dispatching-parallel-agents

To coordinate parallel agents, decompose your objective into independent subtasks, dispatch them with defined inputs and constraints, perform periodic syncs, and merge outputs using a unified test plan against shared acceptance criteria.

The best way to break down a large project for parallel execution is applying a four-step pattern: Decompose, Dispatch, Sync, and Merge, ensuring each subtask has clear interface contracts and definitions of done.

You should dispatch work to parallel agents when your objective can be split into independent subtasks, allowing faster lead times through coordinated execution without risking integration explosions during the merge phase.

You validate subtask results from parallel agents by checking them against a shared acceptance criteria established during the dispatch phase, then merging the outputs using a unified test plan to ensure integration integrity.

Parallel agent workflows cause integration explosions when interface contracts are unclear, but you can avoid this by enforcing clear definitions of done and performing periodic synchronization during the execution phase.

Yes, you need defined inputs, outputs, constraints, and deadlines for each parallel subtask to enable coordinated execution across agents and ensure results meet the shared acceptance criteria during the merge.