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lauren· @poteto · X·· 3 小时前AI 评分30
AI 导读

管理 AI 智能体的方法并非新发明,而是来自前人程序员的工程实践:用约束让代码库对人类和智能体都更自由。大公司早在智能体出现前就靠 lint 规则、更智能的编译器和诊断、高质量测试、可观测性投入来解决"人类代码垃圾"问题。智能体到来只是让大公司的问题变成所有人的问题,本质仍是优秀工程实践。

正文

everything i know about managing agents i learned from the amazing programmers and computer scientists that came before

constraints in your codebase are freeing for both humans and agents! this has always been true, but if you were a small dev team you likely never had to think that deeply because you could trust your fellow programmers to write code and review well

but large companies have had to solve this problem since even before agents. because before you had agent slop, you had human slop. lots of engineers wrote bad code out of necessity (eg backend engineer forced to write frontend or reverse). the solution to this was constraints: lint rules, smarter compilers and diagnostics, high quality tests, investments into observability, and so on

the arrival of agents just means that big company problems are now everyone's problems. the good news is that none of this is really that novel: it's just good engineering

https://www.youtube.com/watch?v=GqmsQeSzMdw

来源:lauren · x.com