Thinking through the AI-native era.
Working notes by Matthew Hong.
● Featured Article
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当 AI 把写代码、补测试、加判断的边际成本打穿到接近零，局部修补就变成了系统最大的熵增源。不从「这一个」拔高到「这一类」，你省下的每一次思考都会变成明天的结构债：第一性原理定靶心，奥卡姆剃刀做减法，让这一类问题从结构上无法成立。
● Latest Articles
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人有余光，agent 没有 —— 为什么信号需要被管理
一则关于人机混编组织的观察：执行力已经 agent 化，注意力还是单人份——弥合这道裂缝的东西，在一切时代都叫信号系统。
● About Me
I’m Matthew Hong, an engineer focused on architecture, standards, and documentation — and, increasingly, on the philosophy of how humans and agents work side by side. Matthew Labs is where I think out loud about how we build, organize, and work in the AI-native era.
Currently @ TapNow