Claude Code
A multi-agent architecture where a central orchestrator agent receives a task, decomposes it into sub-tasks, assigns each to a specialized worker agent, monitors progress, and synthesizes results.
A multi-agent architecture where a central orchestrator agent receives a task, decomposes it into sub-tasks, assigns each to a specialized worker agent, monitors progress, and synthesizes results. The orchestrator handles planning and coordination while workers handle execution. This is the most structured multi-agent pattern and is used by Claude Code (parent agent + sub-agents), CrewAI (hierarchical process), and LangGraph (orchestrator node).
This is the most structured multi-agent pattern and is used by Claude Code (parent agent + sub-agents), CrewAI (hierarchical process), and LangGraph (orchestrator node).
Hands-on guides, comparisons, and tutorials that cover Claude Code.
A multi-agent architecture where a central orchestrator agent receives a task, decomposes it into sub-tasks, assigns each to a specialized worker agent, monitors progress, and synthesizes results.
Orchestrator-Worker Pattern sits in the Claude Code part of the AI stack. Understanding it helps you make better decisions when building, debugging, and shipping AI features.
Developers Digest publishes tutorials and videos that cover Claude Code topics including Orchestrator-Worker Pattern. Check the blog and YouTube channel for hands-on walkthroughs.
A multi-agent architecture where a manager agent breaks a task into sub-tasks and assigns each one to a specialized worker agent.
An agent orchestration pattern where a coordinator splits work into parallel sub-tasks (fan-out), distributes them to multiple agents, waits for all results, and then combines them into a single output (fan-in).
Lightweight AI agents spawned by a parent agent to handle a specific sub-task in parallel.

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