我们哪儿也不会去。
We are not going anywhere

原始链接: https://gist.github.com/omeid/a9d6d1e3c25cb3aa577931e60e006f54

软件开发的未来正日益由人工智能驱动。尽管人工智能生成的代码偶尔不够完美,但企业将优先考虑成本效益,宁可接受“足够好”的结果,也不愿为绝对的精确性支付高昂成本。随着消费者期望逐渐适应这一新标准,软件工程的发展轨迹正在发生根本性转变。 该领域将出现分化:作为科学的软件工程,其重心将几乎完全收窄至推动人工智能自身的发展。与此同时,传统领域的创新——例如新的 UI 库或编程语言——将陷入停滞。由于最先进的模型已针对 React、Python 和 JavaScript 等现有的主流技术进行了优化,新工具将难以获得关注或建立必要的开发者社区。除非大型企业有资源在内部专有技术栈上训练自有模型,否则整个行业都将倾向于那些由全球人工智能模型所支持的既定生态系统。我们已走到无法回头的地步:软件开发不再是关于人类主导的发明创造,而是通过人工智能来维护和完善现有的数字基础设施。

抱歉。
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原文

This might sound obvious, but it is worth putting it down, Software Development going forward will be largely done by AIs, you might find the quality subpar, but in terms of cost ratio, it is commercially good enough. Business will accept 99.99 at fraction of cost of 99.999. It is all about general consumer expectations, which will shift.

But most of all, not just that we are not going back, we are also not going anywhere. Software Engineering as science will be largely dedicated to AI development and outside of this discipline, it will slow down to a grinding halt.

No one is going to write new UI libraries if SOTA models know React best, no one is going to bother with new languages if SOTA models know Python, Go, JavaScript, and so on the best.

Yes, it will be easier for people to build new libraries and languages, but they won't gain traction. This might be different for large corporations who can afford to train and finetune models on their new fangled technology, but that will be the exception, and likely struggle with building a community and talent pool outside of this developing organisation as other people may not fancy using or even have access to their internal models.

We are not going back, we are not going anywhere.

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