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English(EN) One annoying thing about "AI" slop code being a thing now is that you don't know anymore who to blame for issues in new programs/apps: Was it a human who accide

AI生成的代码模糊了软件错误问责制

作者 PulseAugur 编辑部 · [1 个来源] ·

AI生成代码（常被称为“垃圾代码”）的泛滥正在造成软件质量和问责制方面的不确定性。开发人员发现很难诊断新应用程序中的问题，因为他们无法再假定人类开发人员在发布前已对其工作进行了彻底测试。这一趋势导致一些人主动避开显示有AI参与迹象的代码库，宁愿信任来自被认为具有更高测试标准的人类开发人员的代码。 AI

影响 AI生成代码的兴起可能会侵蚀对软件质量的信任，并使开发人员的调试过程复杂化。

排序理由 该条目是一篇讨论AI生成代码影响的观点文章。

在 Mastodon — mastodon.social 阅读 →

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

AI生成的代码模糊了软件错误问责制

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该条目是一篇讨论AI生成代码影响的观点文章。
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报道来源 [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    现在充斥着“AI”生成的垃圾代码，一个令人烦恼的问题是，你不知道新程序/应用出现问题该怪谁了：是人类意外导致了问题，还是

    One annoying thing about "AI" slop code being a thing now is that you don't know anymore who to blame for issues in new programs/apps: Was it a human who accidentally left a bug in? Was it generated by an LLM and just never fully tested? Is there maybe some setup issue? At least …

    链接 slopscan.ava.pet

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