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    Gergely Orosz on Reviewing AI Code Review Usefulness

    Software engineer shares approach to spotting noise in AI code suggestions.

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    1 Source, 25d ago, first seen 25d ago

    TLDR

    Gergely Orosz posted that he values people who examine AI code reviews rather than accept them as useful. He highlights the need to identify cases where the reviews add noise. Orosz poses the question of how to measure usefulness versus noise when relying on AI for code reviews. The statement appears in a public post on X referencing another user's thread.

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    37.3K

    1 Source, first seen 25d ago

    Combined views

    37.3K

    1 Source, first seen 25d ago

    84 likes
    84 likes
    14 comments
    22 saves
    5 reposts

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    14 comments
    22 saves
    5 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

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    1 Source

    @GergelyOroszI love people who review the AI code review instead of assuming that it's all useful. And find examples where it's noise: When you use AI code reviews, good question: how do you evaluate how useful vs noisy it is?

    1 Source

    @GergelyOroszI love people who review the AI code review instead of assuming that it's all useful. And find examples where it's noise: When you use AI code reviews, good question: how do you evaluate how useful vs noisy it is?