How to disassemble and collaborate on complex tasks: Multi-Agent workflow of AI Coding

Core Issues

When does multi-agent improve efficiency, and when does it only increase communication costs, context loss, and conflicting results?

Article structure

1. The upper limit of complexity of a single Agent
2. Split tasks by modules, roles and verification boundaries
3. Parallel conditions, dependencies and shared state
4. Handover of products, conflict resolution and final integration
5. Cost and evaluation of multi-agent workflows

Completion criteria

Readers can break a complex task into subtasks with clear dependencies and define the input, output, and acceptance conditions of each Agent.