parallel-agents

To coordinate parallel execution of multiple subagents, you can orchestrate concurrent subtasks using fan-out and fan-in patterns. This enforces safe task delegation, dependency awareness, and clear demarcation of responsibilities for predictable outcomes when multiple agents run concurrently.

The best way to run map-reduce style processing for large codebases is to deploy multi-agent orchestration. This coordinates parallel execution across multi-file tasks, enabling concurrent architecture analysis, testing, security scanning, and documentation generation.

Yes, you can execute staged pipelines with serial dependencies and parallel work inside stages. This multi-agent orchestration pattern coordinates subagents to manage task dependency awareness while running concurrent work within specific pipeline stages.

Fan-out and fan-in patterns work by distributing multiple subtasks concurrently to subagents and then aggregating the results. This parallel execution mechanism reduces total task duration and improves throughput in complex workflows like code analyses and testing.

Yes, parallel multi-agent orchestration enforces safe task delegation and dependency awareness. It maintains clear demarcation of responsibilities across subagents, ensuring predictable outcomes when multiple agents run concurrently in staged pipelines or map-reduce workflows.