Team of coding agents

In the previous Radar, we described a team of coding agents as a technique where a developer orchestrates a small set of role-specific agents to collaborate on a coding task. Since then, the barrier to adoption has dropped. Subagent support has become more of a table stakes feature across established coding agent tools, and Claude Code now includes an agent teams feature that provides built-in orchestration. In a team of agents, a primary orchestrator typically coordinates task sequencing and parallelization. Agents should be able to communicate not only with the orchestrator but also with one another. Common use cases include teams of reviewers or groups of implementers responsible for different parts of the application, such as backend and frontend.

Although some in the industry are using the terms "agent teams" and "agent swarms" interchangeably (for example, Claude Code describes its agent teams feature as "our implementation of swarms"), we see value in distinguishing between them. A small, deliberate team of agents collaborating on a task differs significantly from a large swarm in terms of entry barriers, complexity and use cases.

编码智能体团队 指的是开发者协同编排多个具备不同角色的 AI 编码智能体（例如架构师、后端专家、测试人员等）共同完成开发任务的一种技术实践。这一做法已被 Claude Code、Roo Code、Kilo Code 等工具支持，它们提供了子代理（subagents）机制和多种运行模式。基于给大型语言模型（LLM）分配具体角色和身份能够提升输出质量的成熟理念，该方法旨在通过协调多个具备特定职能的智能体（而非依赖单一通用型智能体）以获得更佳的开发成果。当前，最优的智能体角色划分方式仍在探索中；这种方法甚至可以突破传统团队角色的一对一映射。这一思路标志着业界正向更加可编排、细致分工的多步骤 AI 辅助开发流程转变。