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English(EN) METR measured experienced developers 19 percent slower with AI coding tools while they believed they were 20 percent faster. METR now says that result no longer

AI 编码工具使开发者效率降低 19%,尽管感知速度有所提升

METR 的一项最新研究发现,有经验的开发者在使用 AI 编码工具时,实际效率降低了 19%,尽管他们认为自己速度提升了 20%。这种感知与实际表现之间的差距凸显了当前 AI 助手可能存在的生产力悖论。GitClear 的进一步数据显示重复代码块增加了 8 倍,DORA 报告称稳定性下降了 7.2%,这与 AI 采用率上升 25% 相关。 AI

影响 AI 编码工具可能导致生产力悖论,提高感知速度但降低实际效率和代码稳定性。

排序理由 文章讨论了关于 AI 编码工具对开发者生产力和代码质量影响的研究结果和行业数据。

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AI 编码工具使开发者效率降低 19%,尽管感知速度有所提升

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  1. Mastodon — mastodon.social TIER_1 English(EN) · roamingpigs ·

    METR measured experienced developers 19 percent slower with AI coding tools while they believed they were 20 percent faster. METR now says that result no longer

    METR measured experienced developers 19 percent slower with AI coding tools while they believed they were 20 percent faster. METR now says that result no longer reflects current tools, so what lasts is the gap between measured and felt. GitClear tracked an 8x rise in duplicated f…