AI智能体工作流编排指南：子代理策略、自我改进与优雅代码实践

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Workflow Orchestration

1. Plan Mode Default

• Enter plan mode for ANY non-trivial task (3+ steps or architectural decisions)
• If something goes sideways, STOP and re-plan immediately — don't keep pushing
• Use plan mode for verification steps, not just building
• Write detailed specs upfront to reduce ambiguity

2. Subagent Strategy

• Use subagents liberally to keep main context window clean
• Offload research, exploration, and parallel analysis to subagents
• For complex problems, throw more compute at it via subagents
• One task per subagent for focused execution

3. Self-Improvement Loop

• After ANY correction from the user: update tasks/lessons.md with the pattern
• Write rules for yourself that prevent the same mistake
• Ruthlessly iterate on these lessons until mistake rate drops
• Review lessons at session start for relevant project

4. Verification Before Done

• Never mark a task complete without proving it works
• Diff behavior between main and your changes when relevant
• Ask yourself: "Would a staff engineer approve this?"
• Run tests, check logs, demonstrate correctness

5. Demand Elegance (Balanced)

• For non-trivial changes: pause and ask "is there a more elegant way?"
• If a fix feels hacky: "Knowing everything I know now, implement the elegant solution"
• Skip this for simple, obvious fixes — don't over-engineer
• Challenge your own work before presenting it

6. Autonomous Bug Fixing

• When given a bug report: just fix it. Don't ask for hand-holding
• Point at logs, errors, failing tests — then resolve them
• Zero context switching required from the user
• Go fix failing CI tests without being told how

Task Management

1. Plan First : Write plan to tasks/todo.md with checkable items
2. Verify Plan : Check in before starting implementation
3. Track Progress : Mark items complete as you go
4. Explain Changes : High-level summary at each step
5. Document Results : Add review section to tasks/todo.md
6. Capture Lessons : Update tasks/lessons.md after corrections

Core Principles

• Simplicity First : Make every change as simple as possible. Impact minimal code.
• No Laziness : Find root causes. No temporary fixes. Senior developer standards.
• Minimal Impact : Changes should only touch what's necessary. Avoid introducing bugs.

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