It's enough - vibecoding tag crossed from useless to harmful

232 It’s enough - vibecoding tag crossed from useless to harmful ☶ meta vibecoding authored by viraptor 2026-10-18 05:35:11 | 239 comments | +241, 9 already posted, 1 off-topic, 2 spam

232 受够了——“vibecoding”标签已从无用变为有害 ☶ 元数据 vibecoding 作者：viraptor 2026-10-18 05:35:11 | 239 条评论 | +241，9 条已发布，1 条离题，2 条垃圾信息

The vibecoding tag has been getting more and more useless for a while now. It lost the original meaning as the culture of software engineering with LLMs matured a bit. It got silly when posts talking about LLMs in general got tagged. It got useless when posts even mentioning some project created with LLMs in passing got tagged. Now it actually got harmful to the community when tagging posts turns away very valuable members https://lobste.rs/c/vecuxj

“vibecoding”标签在过去一段时间里变得越来越没用。随着大语言模型（LLM）软件工程文化的成熟，它已经失去了最初的含义。当讨论大语言模型的一般性文章被贴上这个标签时，它显得很愚蠢；当仅仅顺带提及某个由大语言模型创建的项目也被贴上标签时，它变得毫无用处。现在，当给帖子贴上这个标签导致非常有价值的成员流失时，它实际上已经对社区造成了伤害 https://lobste.rs/c/vecuxj

I sighed and moved on for a while now as almost everything gets tagged - you can skip a word. But now it not only carries no signal whatsoever, it turns away people creating original technical content - which is what I assume anti-vibecoding people would actually like to see more of. Please split it or kill it. But we’d be better off without what exists today.

我叹了口气，忍了一段时间，因为几乎所有东西都被贴上了标签——你可以跳过这个词。但现在它不仅完全没有任何有效信息，还赶走了那些创作原创技术内容的人——而这恰恰是我认为反“vibecoding”人士更希望看到的。请拆分它或废除它。总之，没有现在这种现状，我们会过得更好。

Added: To be clear, I totally support people filtering out llm-generated or llm-centric posts. But right now everyone loses. And every day we lose a little bit more. Whether it’s an original, interesting article that turns out to be nth-degree related to llms and filtered out, or a community member annoyed by this recurring problem and leaving us with even fewer actual non-llm-centric entries.

补充：需要明确的是，我完全支持人们过滤掉大语言模型生成或以大语言模型为中心的帖子。但现在的情况是所有人都是输家。而且我们每天都在失去更多。无论是原本有趣的文章因为与大语言模型有某种程度的关联而被过滤掉，还是社区成员因为这个问题反复出现而感到厌烦并离开，都导致我们剩下的非大语言模型相关内容越来越少。