English(EN) RE: https:// infosec.exchange/@jaythvv/1170 23948737805171 The numbers seem legit as¹ only 10–20 % of the time goes into writing code. And the numbers easily ca

用户质疑AI代码生成的益处，提及技术债务

作者 PulseAugur 编辑部 · [1 个来源] · 2026-08-02 12:06

一位Mastodon用户质疑AI生成代码的合法性，认为只有10-20%的开发时间花在编写代码上。他们还指出，AI生成代码可能会引入技术债务，从而抵消任何收益。虽然一些人报告说个人项目在短期内取得了积极成果，但该用户对这些收益的长期可持续性表示怀疑。 AI

排序理由单个用户在社交媒体平台上对AI代码生成的看法，缺乏更广泛的行业影响或新信息。

在 Mastodon — fosstodon.org 阅读 →

观点

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

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Signal score: 0 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Meme; 单个用户在社交媒体平台上对AI代码生成的看法，缺乏更广泛的行业影响或新信息。
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: opinion; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: Standard; On-topic for AI-industry coverage; kept in the public index.
Story freshness: 75 days old; Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

完整方法见我们的编辑标准。

报道来源 [1]

Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] · 2026-08-02 12:06

RE: https://infosec.exchange/@jaythvv/117023948737805171 数字似乎是合法的，因为¹只有 10-20% 的时间用于编写代码。而且这些数字很容易可以

RE: https:// infosec.exchange/@jaythvv/1170 23948737805171 The numbers seem legit as¹ only 10–20 % of the time goes into writing code. And the numbers easily can get negative if the generated code introduces more technical debt than the average programmer. I get reports from some…

本文如何被排名

报道来源 [1]

RE: https://infosec.exchange/@jaythvv/117023948737805171 数字似乎是合法的，因为¹只有 10-20% 的时间用于编写代码。而且这些数字很容易可以

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