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原始链接: https://news.ycombinator.com/item?id=43760723

Hacker News 的讨论围绕着 AI 在编码中应用增加的影响展开。用户 cjs_ac 对“下意识的 AI 使用”(reflexive AI usage)这一说法提出质疑,认为“下意识的”(reflexive)可能指盲目自动化,也可能指深思熟虑的反思,这源于他们在教学中对“反思性实践”(reflexive practice)的理解。Handprint4469 解释说,“下意识的”(reflexive)通常指自动化,与“反思性的”(reflective)实践形成对比。lm28469 指出许多 IT 工作并不需要高级思考能力。shinycode 则担心过度依赖 AI 会消除宝贵的解决问题过程,而这个过程正是学习和深入理解的关键。他们担忧,如果开发者失去这些技能,而 AI 又变得过于昂贵或不可靠,未来复杂的代码库将难以维护。总的来说,大家对在软件开发中用自动化工具取代人类创造力持谨慎态度。

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  • 原文
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    Coding as Craft: Going Back to the Old Gym (cekrem.github.io)
    15 points by codeman001 1 hour ago | hide | past | favorite | 4 comments










    > The phrase “reflexive AI usage” is what triggered my strongest reaction. “Reflexive” suggests unthinking, automatic reliance. It implies delegating not just tasks but judgment itself.

    Does it? When I trained as a schoolteacher, we were required to engage in 'reflexive practice', meaning at the end of the school day, we were expected to sit down and think about - reflect - on what had happened that day. I don't know how the Shopify CEO meant that phrase, but 'reflexive AI usage' has two conflicting meanings - it can be AI usage that is either actively or passively chosen - and we might need some better phrasing around this.



    > we were required to engage in 'reflexive practice', meaning at the end of the school day, we were expected to sit down and think about - reflect - on what had happened that day.

    That is _reflective_ practice (which involves reflection). Reflexive otoh comes from 'reflex', which does suggest unthinking automaticity.



    But then again most IT jobs are the equivalent of flipping burgers at mcdonald's, nobody's asking them to be Michelin starred chefs.


    > If people stop the occasional deadlock of grinding teeth, looking at a problem, crying, going for a walk, praying and screaming until suddenly it makes sense (and you learn something!), I’d call it severe regression, not progress.

    People for which development is not their job will absolutely want to get rid of it as much as possible because it costs money. I really agree with the author, it does feel like a regression and it’s so easy to overlook what makes the most part of the job when it looks like it can be fully automated. Once you don’t have people who are used to do what’s quoted, and there is 500 million lines of code and bugs, good luck with that to ask a human to take a look. Maybe AI will be powerful enough to help debugging but it’s a dangerous endeavor to build critical business around that. If for any reason (political or else) AI got more expensive it could kill businesses (twitter api ?)







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