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    Is reviewing AI-generated code worth it? One post weighs speed against future costs

    Skipping review saves effort today, one post argues, but risks harder-to-understand code and future outages or security incidents.

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    1 Source, 23d ago, first seen 23d ago

    TLDR

    One post uses reinforcement learning’s “discount factor”—which weights future rewards—to frame the trade-off in reviewing AI-generated code. Skipping review prioritizes shipping today without paying the cost of review. The author argues that review is likely worth it if it preserves future shipping speed and reduces downtime or security incidents. The caveat: prioritizing immediate gains could make more sense if increasingly capable AI models let messy code ship today without slowing future work.

    Combined views

    3.2K

    1 Source, first seen 23d ago

    Combined views

    3.2K

    1 Source, first seen 23d ago

    32 likes
    32 likes
    10 comments
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    3 reposts

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    10 comments
    15 saves
    3 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

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    1 Source

    @sergeykarayevDoes it make sense to review AI-generated code? Well, in RL, we estimate the value of a given state as its immediate reward, plus a weighted sum of expected future rewards. The weighting is done by a discount factor: • if it's close to 0, the agent is myopic, and only cares about current state's reward. • If it's greater than 1, the agent cares about future rewards more than current state's reward. Back to code review. If your discount factor is near zero, and you only care about today's reward, it's clearly better to not review code. You gain the benefit of shipping something, and you don't pay the cost of review. But just understand that you are heavily discounting the cost of an increasingly incomprehensible codebase making it difficult to continue shipping quickly, as well as the cost of future outages and security incidents. If your discount factor is closer to 1, then code review is likely worth it, as long as it allows you to keep shipping in the future, and reduces the likelihood of downtime and other incidents. Of course, we're aiming at a moving target. A lower discount factor makes sense if future AI models are increasingly capable, and you can ship messy code today, without slowing down future shipping velocity.

    1 Source

    @sergeykarayevDoes it make sense to review AI-generated code? Well, in RL, we estimate the value of a given state as its immediate reward, plus a weighted sum of expected future rewards. The weighting is done by a discount factor: • if it's close to 0, the agent is myopic, and only cares about current state's reward. • If it's greater than 1, the agent cares about future rewards more than current state's reward. Back to code review. If your discount factor is near zero, and you only care about today's reward, it's clearly better to not review code. You gain the benefit of shipping something, and you don't pay the cost of review. But just understand that you are heavily discounting the cost of an increasingly incomprehensible codebase making it difficult to continue shipping quickly, as well as the cost of future outages and security incidents. If your discount factor is closer to 1, then code review is likely worth it, as long as it allows you to keep shipping in the future, and reduces the likelihood of downtime and other incidents. Of course, we're aiming at a moving target. A lower discount factor makes sense if future AI models are increasingly capable, and you can ship messy code today, without slowing down future shipping velocity.