现在 AI 已经可以帮我们快速实现或者复制功能,但是如何定义需求和清晰地描述设计,依然缺失。过去缺失,现在缺失,将来也会继续缺失。只不过,我们定义的功能的层次在往上提升,需求和目标越来越抽象;最终只剩提出需求的人和检查结果的人,中间全部由智能体实现。软件的逻辑层最终变成了模型输出的 token 🤔
AI can build features, but defining requirements and design remains the gap
AISummary
Current AI can quickly implement or replicate features, but clearly defining requirements and describing design is still missing, and the author expects this gap to persist. As requirements grow more abstract, humans may only specify goals and check results while agents handle implementation, leaving the software's logic layer as model-generated tokens.
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@indigox
软件分发(销售)的确已经没有意义了,所有软件本质上都成为了开源软件。已经存在的专业软件被代替只是时间问题,这迫切让我思考软件到底还能以什么方式存续并盈利。
Source: indigo · x.comPublished
