Multi-Agent AI Workflows for Software Development
多Agent AI软件工作流
Learn to create specialized AI agents that collaborate on development tasks, implement saved prompts, coding rules, and coordinate multi-agent workflows using Claude Code.
学习创建专门的AI Agent协作完成开发任务，实现保存的提示词、编码规则，并使用Claude Code协调多Agent工作流。
Reusable command templates for common tasks.
用于常见任务的可重用命令模板。
Project-specific coding standards and best practices.
项目特定的编码标准和最佳实践。
Specialized AI agents collaborating on complex tasks.
专门的AI Agent协作完成复杂任务。
Expert in text parsing and regex patterns for extracting structured data.
文本解析和正则表达式专家，用于提取结构化数据。
Expert in FastAPI, database operations, and API endpoint implementation.
FastAPI、数据库操作和API端点实现专家。
Expert in writing comprehensive tests and ensuring code quality.
编写全面测试和确保代码质量的专家。
Expert in writing clear documentation and API references.
编写清晰文档和API参考的专家。
page, page_size{items, total, page, page_size}{ok: true, data: {...}}{ok: false, error: {code, message, details}}| Aspect / 方面 | Single Developer / 单人开发 | Multi-Agent / 多Agent |
|---|---|---|
| Context Switching | High context switching | None (specialized) |
| Quality Assurance | Depends on individual | Expert-level |
| Test Coverage | Often incomplete | Comprehensive |
| Documentation | Frequently missed | Automatic |
| Time Required | 4-6 hours | 2-3 hours |
Rules ensure consistent code patterns across the project.
规则确保项目中一致的代码模式。
Commands can be used repeatedly across different projects.
命令可以在不同项目中重复使用。
Agents have focused expertise for specific tasks.
Agent具有特定任务的专业知识。