The real question isn't whether AI will replace you, but whether you can lead AI. Three agent types (Coach, Secretary, Partner), the rapport moat, and building an AI-native world.
统一工具协议的诱惑：MCP背后的商业与技术博弈
分析MCP解决LLM工具调用标准化痛点的技术优势和Anthropic的商业推动策略，以及开发者何时应该使用MCP、何时可以不用。
The Lure of a Unified Tool Protocol: The Business and Technical Dynamics Behind MCP
Examining why MCP gained popularity for standardizing LLM tool invocation, its technical advantages and limitations, and when developers should adopt it versus building without frameworks.
从上下文失忆到文档驱动开发：突破Agentic AI的项目规模陷阱
Agentic AI在5000行以上代码失效的根本原因是上下文窗口限制。解决方案：用文档驱动开发作为长期记忆，支持多Agent协作和人机配合工作流。
From Context Amnesia to Document-Driven Development: Overcoming the Project-Scale Trap in Agentic AI
Agentic AI fails above ~5000 lines due to context window limitations. Solution: document-driven development as long-term memory, enabling multi-agent collaboration and human-AI workflow.