Claude Code
A multi-agent architecture where a manager agent breaks a task into sub-tasks and assigns each one to a specialized worker agent.
A multi-agent architecture where a manager agent breaks a task into sub-tasks and assigns each one to a specialized worker agent. The manager coordinates results and handles failures. This pattern is used in Claude Code's sub-agent system (via the Task tool), CrewAI's hierarchical process, and LangGraph's orchestrator nodes. It is the most common way to parallelize agent work.
In practice, developers reach for Delegation Pattern when they need the capability described above as part of an AI feature or workflow.
Hands-on guides, comparisons, and tutorials that cover Claude Code.
A multi-agent architecture where a manager agent breaks a task into sub-tasks and assigns each one to a specialized worker agent.
Delegation 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 Delegation Pattern. Check the blog and YouTube channel for hands-on walkthroughs.
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.
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).
The phase in an agent's workflow where it analyzes a task, breaks it into steps, and determines the order of operations before taking any action.

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