少点错误 05月17日 10:52
Management is the Near Future
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文章探讨了程序员对管理的传统看法,以及随着LLM(大型语言模型)的出现,管理在技术领域的重要性日益凸显。作者分享了从程序员到管理者的转变,并指出高效管理者如何通过提供背景信息、分解任务、及时反馈等方式提高团队生产力。文章认为,在LLM时代,管理技能变得至关重要,因为LLM擅长自动化代码编写,而人类则需要专注于解决问题和评估方案。作者预测,未来几年,管理将成为主流,我们需要学会管理由LLM驱动的团队。

🧐 传统程序员轻视管理,认为其不如编写代码重要。作者曾对此持有偏见,但后来认识到优秀管理者对团队生产力的积极作用。

💡 优秀管理者提供业务背景、分解复杂任务、给予及时反馈,帮助团队明确目标、提高效率。他们也懂得提问、组织评审,确保团队朝着正确的方向前进。

🤖 LLM的出现改变了技术领域的工作模式。代码编写更容易被自动化,而确定问题和评估方案变得更加关键。因此,管理技能变得至关重要,类似于管理由LLM驱动的团队。

Published on May 17, 2025 2:50 AM GMT

Programmers have traditionallybeen contemptuous of management:if you're not writing code what are you even doing with your time? Ipicked this up through general culture, and I remember my instinctiveshudder and recoil the first time my boss asked if I was interested inmanagement. As I got a better understanding of what managers weredoing, though, I came to appreciate how good ones could let us be muchmore productive:

Good managers do many other things, of course, but even just whenyou consider whether they're making the team more productive in themoment there's really a lot there.

Now that I've made the transition from individual contributor tomanagement twice, I see this from the other side. I work hard tosupport my reports by giving them what they need, maintaining a senseof what each one is capable of, determining an appropriate level ofreview, noticing when folks are struggling, among other things.

It's somewhat ironic that I've ended up in a role that I oncedisdained, but the bigger irony is that with LLMs we're all growinginto that role now. Everything I listed above is not just something agood manager does, it's also key to getting the best results out of anLLM. What we traditionally considered the real work, writing thecode, turns out to be much more easily automated than figuring outwhat problem we should be solving or whether a proposed solution is agood one.

I'd say management is the future, but I don't know how much longer anyof us will be able to continue usefully contributing. Instead I'lljust say that management is the near future. I think it's likely thatthe next few years will look like managing increasingly skilled andnumerous reports, where we'll need to maintain a solid sense of whatwe're looking for, continuously update our sense of how much trust toextend these virtual reports in what contexts, and generally work tokeep all this automated effort moving things in a good direction.

(Trying to think of reasons this post might end up being quite wrong,I think the one that feels most likely to me is that these managementand agency skills end up being yet another thing that LLMs can do verywell very soon. In which case perhaps the last areas where humans areeconomically useful are below theAPI, in roles similar to a driver following GPS instructions,applying our skills in interaction with the physical world at theclose direction of AIs.)

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程序员 管理 LLM 人工智能 团队生产力
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