Quoting Carson Gross
Summary
Simon Willison quotes Carson Gross arguing that programming remains fundamentally about problem-solving and controlling complexity, skills that will stay valuable even as AI tools advance.
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Cached at: 10/09/26, 06:18 AM
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htmx 作者、蒙大拿州立大学计算机科学教授 Carson Gross 撰文探讨“在 AI 时代是否还应该成为程序员”，他认为编程的核心——解决问题与控制复杂性——依然有价值，但强烈警告初学者不要依赖 AI 生成代码，必须亲手写代码才能读懂代码，并指出 LLM 并不像编译器那样确定、往往引入额外的偶然复杂性。
In the AI world, why do people still want to learn programming languages?
A reflection on why learning programming languages remains valuable even as AI generates code, emphasizing the need for foundational knowledge to effectively work with AI.
@saranormous: https://x.com/saranormous/status/2064510215056400652
Despite rapid advances in AI coding agents like Devin, which have dramatically increased code writing and shipping, the article argues that the most valuable aspects of software engineering remain illegible to benchmarks and require human judgement and organizational coordination that cannot be easily automated.
Note on 24th September 2026
Simon Willison notes that coding agents, while powerful, add complexity to software engineering, requiring significant discipline and knowledge to unlock their full potential.
@simonw: The more time I spend working with coding agents, the more convinced I am that they make software engineering even hard…
The author argues that coding agents, despite their capabilities, make software engineering more challenging and require extraordinary discipline, referencing recent AI models like Opus 4.6 and GPT-5.2 in the discussion.