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English(EN) @ humanhorseshoes The trend is to build complexity that nobody understands, then flail around for software archeologists that can keep the mess running. I was r

开发者警告 AI 代码复杂性及潜在 bug

作者 PulseAugur 编辑部 · [1 个来源] ·

一位软件开发者对代码库日益增长的复杂性表示担忧，尤其是在 AI 开发的背景下。他们认为这种复杂性使得任何人都不可能完全理解或维护这些系统，导致对专门的“软件考古学家”的依赖。该开发者还批评了 AI 生成代码的使用，认为它平均了许多程序员的技能，可能导致健壮性和安全性问题，从而损害公司声誉。 AI

影响 引发了对 AI 生成代码的可维护性和可靠性的担忧，可能影响用户信任和公司声誉。

排序理由 该条目是来自社交媒体平台上一位开发者关于代码复杂性和 AI 性质的观点文章。

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 →

开发者警告 AI 代码复杂性及潜在 bug

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该条目是来自社交媒体平台上一位开发者关于代码复杂性和 AI 性质的观点文章。
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报道来源 [1]

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

    人类的趋势是构建无人理解的复杂性，然后四处寻找能够维持混乱运行的软件考古学家。我曾是

    @ humanhorseshoes The trend is to build complexity that nobody understands, then flail around for software archeologists that can keep the mess running. I was responsible for a 1.5 million lines of code. If a customer encountered a problem, I could re-familiarize myself with a fe…

    链接 mastodon.world/@humanhorseshoes

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