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In September, AI generated code has made up 17.25% of all Linux Kernel patches

32 points · 79 comments · tosh

  1. AyanamiKaine · · focus · HN ↗
    I really don't know what to feel about AI generated code. It's clear that it improves velocity dramatically in code output. It has some value to it. But what is the cost?

    While I code without the help of AI, sometimes I feel like I am being left behind.

    Ohh you wrote only 400 lines today? I shipped a whole app while being in the gym... hits hard.

    1. buryat · · focus · HN ↗
      The code itself indeed has become cheap but the question still is out whether it solves the right problem. I've shifted my work significantly toward designing more high-level portions where multiple things would interact in somewhat unpredictable manner (read as failure modes) that's where I found the models being quite poor, they do suggest many things to solve these or that problems but in a unity these suggestions miss second order effects. I was quite surprised that models can't hold all of the connected pieces simultaneously to reason about. But once I have a complete design after a week of deliberations and various attempts, the models can produce lots of correct code to cover that. And then another pass starts because they still deviate in implementation of various pieces and once you start questioning those the models start self-correcting. Judging the output is still way faster than writing the code yourself and indeed models still show some cases that slipped once mind. It's a definitive increase in terms of quality and value of the end code no doubt. Whether it can one-shot a complex problem, not really.
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