AI 导读
Elvis Saravia 认为系统思维是与 AI 智能体高效协作的核心,即理解系统的各个子部分。他补充建议尽早掌握结果度量与评估构建,若不能客观衡量所构建之物,就难以判断是否取得真正进展。可借助智能体入门,但始终要查看数据与 trace。
正文
Generally, good advice here. Systems thinking is at the top of my list too. That’s how you interact and build effectively with agents today, by thinking of the subparts of the system.
I would add understanding how to measure outcomes and build evals. It comes with experience but it’s something you want to apply early on. If you are not objectively measuring what you build it’s hard to know if you are making real progress. Use agents to help you get started but always look at the data and traces.
I often get emails from junior engineers asking me what to do. Here's what I just wrote to one of them在 X 查看被引用的帖子
来源:elvis · x.com