传统样板代码与大型语言模型（LLM）生成的代码之间的区别在于其创建者的经验。样板代码由了解项目需求的经验丰富的人员开发，而 LLM 生成的代码则被比作“白痴把意大利面条扔到墙上”，暗示缺乏真正的理解或实际应用。这种观点认为，当前的 LLM 并不真正智能。 AI
影响 该评论质疑当前 LLM 生成代码的实际效用和智能，认为它不如经验丰富的人类开发人员。
排序理由 该集群包含讨论 LLM 生成代码与传统样板代码性质的观点文章。
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A primary difference between # boilerplate and # LLM generated "starter code" is that boilerplate was written by someone (or several) with many years of experience, who learned what was generally needed to start a good project. The token generator is an idiot throwing spaghetti a…
A primary difference between # boilerplate and # LLM generated "starter code" is that boilerplate was written by someone (or several) with many years of experience, who learned what was generally needed to start a good project. The token generator is an idiot throwing spaghetti a…