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Lauren Tan更新于 10月31日 00:10

lauren:AI 让代码如洪流,软件需重写以适配智能体

we will need to rebuild and rewrite much of software to adapt to a new, faster pace.

AI 导读

lauren 认为,代码正从一滴一滴到来变成如湍急河流般的连续流,软件需要大量重建和重写以适配这一更快节奏。她指出 AI 为每位工程师带来极具弹性和能力的劳动力,唯一出路是演进系统,让缺乏上下文的智能体也能顺利工作,把容易做的事变成正确的事。代码库正成为有机建筑,智能体的贡献围绕你设计的约束与护栏生长,因此好的软件工程比以往更重要。

引用

Joseph Cox

@josephfcox

这是我获得多份副本的 Proton CTO 的 AI 宣言,链接:https://t.co/6o7G2teu9A https://t.co/d92L1kv8AU

查看原文

Here is Proton CTO's AI manifesto, that I obtained multiple copies of https://t.co/6o7G2teu9A https://t.co/d92L1kv8AU

查看原帖

正文

we will need to rebuild and rewrite much of software to adapt to a new, faster pace.

code used to arrive one drop at a time. soon, if not already, code will be written as if it were a continuous stream, like a violent river twisting and turning as it pleases.

this is not a new thing: big tech cos have had to deal with this with the enormous scale of their engineering teams. but now ai has brought an incredibly elastic and capable workforce wielded by every engineer. this is your problem now, and the only way to adapt is to evolve your systems so agents - even and especially the ones with little context about the right way of doing things - can thrive. make the easy thing the right thing.

your codebase is becoming organic architecture. agent contributions grow around the constraints and guardrails you’ve designed. good software engineering matters even more now! and no, the continuous stream of code is not something you have to watch helplessly. be more ambitious and design systems, frameworks, and languages to control the chaos.

the time for mourning coding is long over

来源

Lauren Tan