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AI Code Generation: More Hype Than Substance?

2025-04-27

This article critiques the limitations of AI code generation tools. The author argues that while AI-generated code might look plausible, it's fraught with hidden dangers. AI simply predicts patterns in language to generate code, lacking true engineering thinking and understanding of runtime environments. This results in code that is hard to understand, debug, and reuse. In contrast, modular programming, referencing excellent open-source projects and documentation, are more helpful in writing high-quality code. Ultimately, the author points out that the core of software engineering lies in thinking and understanding, not just writing code.

Development

RSS: Reclaiming Your Attention in the Age of Algorithmic Control

2025-04-26

The internet has become a battleground for user attention, with algorithms prioritizing engagement over user experience. This article champions RSS as a way to regain control. By building chains of trust and selectively subscribing to feeds from trusted sources, users can filter information and curate their own content gardens. Using an RSS reader isn't just aggregation; it's a skill and a practice of intentional engagement, allowing you to own your attention.

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