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Published Jan 8, 2024

The I in LLM stands for intelligence

In this insightful episode, Jerod Santo delves into the world of AI tooling frustrations, technical debt misconceptions, and the realities of web development, featuring Daniel Stenberg's concerns about AI in development, Gavin Howard's critique of code labeling, and Brian Birtles' revelations post-Mozilla.
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  • Critique

    Gavin Howard challenges the conventional notion that all code is technical debt, arguing for a more nuanced understanding. He believes that technical debt arises when software fails to align with the problem it aims to solve, rather than simply accumulating as more code is added 1. This perspective shifts the focus from quantity to quality, emphasizing the importance of fitting solutions to specific problems.

    Technical debt is every place where the software does not fit the problem.

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    echoes this sentiment, suggesting that the traditional metaphor of technical debt might be inadequate and even misleading 1.

       

    New Metaphors

    The conversation introduces alternative metaphors to describe technical debt, likening it to malpractice rather than financial debt. argues that skipping essential tasks like testing and documentation is not debt but a failure to perform one's duties responsibly 1. This reframing suggests that what is often labeled as technical debt is actually a form of negligence.

    It's not tech debt, it's malpractice.

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    This metaphor challenges developers to reconsider their approach to coding practices, urging them to prioritize thoroughness and accountability 1.

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