Agent Teams

Agent Teams

A Claude Code multi-agent mode where agents share a task list, can communicate directly with each other, and can assign work to one another — an extension of sub-agents with peer-to-peer coordination.

Key points

  • Sub-agents run in parallel with fresh context but can only report back to the main thread — no peer communication [src-011]
  • Agent teams: all agents share a task list and can communicate peer-to-peer, not just top-down [src-011]
  • Individual agents in a team can be addressed directly by the user, not just through the main orchestrator [src-011]
  • More expensive and longer-running than sub-agents, but produce more cohesive outputs on large, interdependent projects [src-011]
  • Best used for complex projects requiring cross-component coherence; sub-agents better for isolated parallel tasks [src-011]
  • The 10-hour course teaches agent teams as part of the advanced Claude Code layer after skills and sub-agents, alongside browser automation, permissions, context management, and worktrees [src-016]
  • Boris Cherny describes massive parallelism as an active frontier: his own setup often has hundreds of agents and overnight thousands of agents, while the product team is working on easier multi-agent delegation, batch, loop, and team patterns [src-054]
  • As models improve, Boris expects the model to infer more of when to parallelize work instead of requiring users to manually decide where to spawn sub-agents [src-054]
  • Cursor's team-era framing converges on the same pattern from an IDE/product angle: agents get their own remote computer environments, run for hours or days, and let humans supervise many parallel implementation streams [src-080]
  • Cursor's autonomous-browser experiment is an extreme version: an agent team worked over roughly a week, generated millions of lines, and produced a mostly functional prototype browser, though Cursor emphasizes this remains experimental [src-080]

When to use

Scenario Use
Independent parallel tasks (e.g., 5 separate summaries) Sub-agents
Complex projects with interdependent components (e.g., full-stack app with API + frontend + tests) Agent teams
Single isolated tasks Main thread

Related entities

Related concepts

Source references

  • [src-011] Nate Herk — Claude Code power features cluster (2026-04-20 to 2026-04-27)
  • [src-016] Nate Herk — "Build & Sell with Claude Code (10+ Hour Course)" (2026-03-12)
  • [src-054] Sequoia Capital — "Anthropic's Boris Cherny: Why Coding Is Solved, and What Comes Next" (2026-05-04)
  • [src-080] Cursor — "The next era of AI coding" (2026-05-12)