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Author warns against AI in software development due to cognitive risks

The author argues against the widespread use of AI in software development, citing potential drawbacks such as mental atrophy, reduced ownership, and privacy concerns. While acknowledging AI's utility for minor tasks, they contend that over-reliance can lead to increased maintenance burdens and errors. The piece suggests that AI should not be used for tasks where cognitive output is the primary product, advocating for human-centric development. AI

影响 Argues that over-reliance on AI in development can lead to decreased programmer skill and increased long-term maintenance costs.

排序理由 The article presents a personal opinion and argument against the use of AI in a specific field, rather than reporting on a new development or event.

在 dev.to — LLM tag 阅读 →

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  1. dev.to — LLM tag TIER_1 English(EN) · Albaraa Ali ·

    Should We Use AI In Development?

    <p>The short answer is no.</p> <p>In this article I address some of the major trade-offs with using LLMs for development. Things like mental atrophy, lack of ownership, the carbon footprint of AI, and more. As much as AI can be useful for us, it's important to keep these things i…