An engineering notebook on AI, systems, and everyday experiments.

用医院的分诊系统作比喻，通俗解释DeepSeek v2和v3的混合专家架构原理，包括专家分工、路由机制、负载均衡挑战和跨节点通信问题。

Explains DeepSeek v2 and v3's Mixture of Experts architecture using a hospital analogy, covering expert specialization, routing, load balancing challenges, and cross-node communication.

以一次debug经历说明三个AI管理技巧：克制抢键盘的冲动、提供可视化上下文而非模糊抱怨、授之以渔而非授之以鱼——即从IC到Manager的思维蜕变。

Uses a debugging session to illustrate three key AI management skills: resisting the urge to take over, providing visual context instead of vague complaints, and teaching methodology rather than giving answers—the shift from IC to manager mindset.

通过分离Planner和Executor、强制文档沟通、用o1当Planner三项改造，解决Cursor鬼打墙问题，实现质量显著提升的多智能体系统。

How separating Planner and Executor roles, enforcing document-based communication, and using o1 as Planner transformed Cursor from a simple assistant into a multi-agent system.

AI课程运营一年反思：打破学员对AI的刻板印象、手把手辅导带来可复制解决方案、长期更新机制保持技术前沿，以及认知升级到应用落地的完整学习路径。

以ZWO产品策略为例详解漏斗分析思维：如何识别用户流失瓶颈、降低天文摄影门槛，以及分布式设备在科研中的潜在价值。

Learn funnel analysis through ZWO's product strategy: how ASI Air and Seestar break down barriers in astrophotography, and how distributed devices could transform scientific research.

Agentic AI为什么常常只能做到七八成：自我迭代的反馈环被打破，缺乏感知能力和主观评价标准，以及如何补足这些能力缺口。