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AI caution: Solo programming remains the 'Gold Standard' for learning

The author reflects on the historical significance of individual programmers creating complex systems like operating systems and programming languages, citing examples such as Thompson's UNIX and Ritchie's C. They argue that this solitary, in-depth approach to system building remains the 'Gold Standard' for young computer science undergraduates. The author cautions against using AI to generate entire codebases, suggesting it bypasses the valuable learning process inherent in building systems from scratch. AI

IMPACT Suggests that relying on AI for code generation may hinder deep learning and system-building skills for aspiring programmers.

RANK_REASON The item is an opinion piece reflecting on the value of solo programming and cautioning against AI-generated code.

Read on Mastodon — fosstodon.org →

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AI caution: Solo programming remains the 'Gold Standard' for learning

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  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    Most of us geeks began our life-long obsession of # programming with tiny, simple algorithms, like lists, trees, and matrices, implemented in subsets of assembl

    Most of us geeks began our life-long obsession of # programming with tiny, simple algorithms, like lists, trees, and matrices, implemented in subsets of assembly, C, or Pascal. Soon, we graduated to amortised data structures, NP-complete approximation algorithms, and neural netwo…