Deploy Parallel Agent Teams for Multi-Disciplinary Coding Projects
Coordinate multiple AI agents to work on complex projects in parallel.
Deploy 'Agent Teams' to allow multiple specialized AI agents to work together on different parts of a project and sync their progress automatically.
The Scenario
You are building a complex feature that requires simultaneous database schema design, frontend component creation, and API documentation.
Before & after
You had to manually open multiple chat windows, give each a different persona, and manually merge their different outputs into one document. This manual synthesis takes 45–60 minutes.
Use the Agent Team mode to spawn multiple named agents; the leader will coordinate work and provide a single consolidated report. This coordination takes about 5 minutes of oversight.
The Prompt
Create an Agent Team named [TEAM_NAME] to [DESCRIBE_GOAL]. Assign [AGENT_1] to handle [TASK_A] and [AGENT_2] to handle [TASK_B]. Project lead should consolidate findings.
Instead of independent background agents that don't talk to each other, Agent Team mode allows for a leader-member structure. Members share task lists and exchange messages to ensure consistency before the leader provides the final output.
Source
Qwen Code Blog: AI Coding Updates and Guides | Qwen Code Docs"Agent Team mode lets the model create named teams, spawn multiple teammates to work in parallel, exchange messages... leader consolidates a single report."