orchestrating-swarms

Multi-agent swarms coordinate parallel workflows without central bottlenecks by using a leader-teammate role system, shared task lists with dependencies, and inbox-based communication to distribute and unblock tasks dynamically across agents.

Building dependency-driven pipelines for parallel code reviews is best handled by enforcing task lifecycles and orchestration primitives that automatically unblock downstream tasks once upstream dependencies complete successfully.

Inbox-based communication in self-organizing task queues allows leader and teammate agents to coordinate divide-and-conquer tasks by sending, receiving, and tracking messages through shared task lists to ensure scalable collaboration.

Yes, you can use TeammateTool to orchestrate deployment validations and quality checks across multiple agents by assigning tasks to a swarm, executing them in parallel, and enforcing task lifecycles for reliable results.

Yes, running divide-and-conquer tasks with Claude Code's Task system requires orchestration primitives that define leader-teammate role coordination, task lifecycles, and inbox-based communication to properly manage parallel execution.

You should avoid using a multi-agent swarm for pipeline-based work when tasks are strictly sequential, lack clear dependency graphs, or require heavy shared state synchronization that prevents safe parallel execution.