use-subagents

To coordinate multiple AI agents for complex software tasks, you can use workflow orchestration to assign specific roles like coding, research, and reviewing to specialized agents, managing their interactions through sequential handoffs, parallel execution, or iterative feedback loops.

Multi-agent workflow orchestration is the process of managing task delegation among specialized AI agents, enabling complex interactions like parallel execution and iterative feedback loops to ensure cohesive software development across roles such as coding and debugging.

Yes, you can assign specific roles like coding and reviewing to different AI agents. The system manages agent selection based on the task domain and available skills, matching each phase of your software feature development to the most suitable specialized agent.

Yes, multi-agent task delegation supports both parallel execution and sequential handoffs. It facilitates complex orchestration patterns, allowing specialized agents to work simultaneously or pass tasks sequentially through phases like research, implementation, and testing.

You need to use specialized agents for software engineering when tackling a large feature that requires distinct phases like research, implementation, code review, and testing, ensuring each phase is handled by an agent with the appropriate domain skills.