English(EN) In my career, I've met a lot of good coders who are bad at software. In fact, it's probably a majority. This is why I've been complaining for years about the st

糟糕的软件开发实践可能会污染LLM训练数据

作者 PulseAugur 编辑部 · [1 个来源] · 2026-07-13 15:42

作者观察到，许多技术娴熟的程序员在更广泛的软件工程原则方面存在困难，导致代码库出现维护和依赖性问题。这类代码经常被用于训练大型语言模型（LLM），这引发了人们的担忧，即自动化复用此类代码可能会导致糟糕的软件质量的传播。 AI

影响对LLM训练数据中糟糕的代码质量可能导致AI系统中维护和依赖性问题传播的担忧。

排序理由该条目是一篇评论文章，讨论用于LLM训练的代码质量。

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Mastodon — mastodon.social TIER_1 English(EN) · [email protected] · 2026-07-13 15:42

In my career, I've met a lot of good coders who are bad at software. In fact, it's probably a majority. This is why I've been complaining for years about the st

In my career, I've met a lot of good coders who are bad at software. In fact, it's probably a majority. This is why I've been complaining for years about the state of software development. This is the type of software that is used to train the LLMs. Yes, a lot of this code works …

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In my career, I've met a lot of good coders who are bad at software. In fact, it's probably a majority. This is why I've been complaining for years about the st

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