English(EN) Is a README for Humans or for LLMs?

作者尝试为人类和LLM创建双重README

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-08 12:09

作者探讨了编写README文件以同时有效服务于人类读者和大型语言模型（LLM）的挑战。他们发现LLM倾向于生成冗长的文本，包括不必要的解释，因为它们无法理解隐含的人类上下文。为解决此问题，作者尝试将内容区分开来，供人类和LLM阅读，并将LLM特定的信息放在折叠部分。然而，这种方法被证明很困难，因为作者自己的阅读习惯和修订过程很难转化为LLM内容的句子级规则。最终，作者意识到他们一直在为LLM爬虫优化README，假设代码库被克隆的次数比被人类查看的次数多，而这一前提最近已经改变。 AI

影响开发人员可能需要调整文档策略，以有效地与人类用户和AI工具进行沟通。

排序理由该条目是一篇评论文章，讨论了为人类和LLM编写文档的挑战。

在 dev.to — LLM tag 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

本文如何被排名

Signal score: 2 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Commentary; 该条目是一篇评论文章，讨论了为人类和LLM编写文档的挑战。
Source corroboration: Single-source cluster; Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics: product, other; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: High; Clearly on-topic for AI-industry coverage.
Story freshness: Breaking (< 6h); Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准。

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dev.to — LLM tag TIER_1 English(EN) · Tatsuya Shimomoto · 2026-10-08 12:09

README是为人写的还是为LLM写的？

<p>I read the README of one of my own repositories and stopped at the tenth sentence. I had written it with my README skill, and the pre-publication check had said it was fine to publish. It opened with a two-sentence paragraph meant to say what the project does (translated from …

本文如何被排名

报道来源 [1]

README是为人写的还是为LLM写的？

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