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How to use Claude Code agent teams?

Claude Code agent teams let a lead agent spawn parallel sub-agents that divide work across files, tests, or tasks and merge results.

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How to use Claude Code agent teams?

Claude Code agent teams allow a lead agent to spawn multiple sub-agents that work on different parts of a task in parallel. The lead agent coordinates the overall plan, assigns specific work to each sub-agent, and merges the results. This pattern is useful for large tasks like generating multiple files simultaneously, running parallel test suites, or refactoring code across an entire codebase.

Context

Single-agent workflows hit a practical ceiling when tasks are large or span many files. Waiting for one agent to sequentially process twenty files is slow and error-prone — context windows fill up and quality degrades as the task grows. Agent teams break through this ceiling by introducing parallelism.

The concept draws from multi-agent systems research but is implemented pragmatically in Claude Code. Rather than complex negotiation protocols, Claude Code uses a straightforward lead-and-worker pattern. The lead agent analyzes the task, decomposes it into independent units, and dispatches sub-agents with focused instructions. Each sub-agent operates in its own context with a clear, bounded scope.

This architecture shines in scenarios like FAQ generation (each page written by a separate agent), cross-file refactoring (each module handled independently), and parallel code review (different reviewers for tests, logic, and documentation). The agent teams deep dive covers production patterns in detail. For how agent teams fit alongside skills, hooks, and MCP within the broader ecosystem, see the extension stack guide and the complete guide.

Practical Steps

  1. Define the decomposition: Identify which parts of your task are independent and can run in parallel — file boundaries, test suites, or functional modules are natural split points
  2. Use the Task tool: In Claude Code, the lead agent uses the Task tool to spawn sub-agents with specific instructions and scoped file access
  3. Keep sub-agent scope tight: Each sub-agent should have a clear, bounded assignment — generating one file, reviewing one module, or running one test category
  4. Let the lead agent merge: The lead agent collects outputs from all sub-agents, resolves any conflicts, and ensures consistency across the combined result
  5. Set constraints upfront: Define output format, naming conventions, and quality standards in the lead agent's instructions so sub-agents produce compatible outputs

For guidance on building reliable harnesses around long-running agent teams, see effective harnesses for long-running agents. Explore more at the Claude Code topics hub.

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