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Lauren Tan says adversarial code reviews waste tokens compared with empirical testing

1 article1 sourcesince Nov 2Last article 1h ago ·

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Lauren Tan (@poteto) says adversarial code reviews are mostly a waste of tokens and that those tokens are better spent on empirical testing combined with formal verification.

In a post dated November 2, 2026, she says she has reduced use of her pstack interrogate skill and may remove it entirely.

Tan says abstract code review leads agents to get lost in nitpicks and YAGNI concerns, which she reports gives little value. Her claims are based on her own experience and are not supported by measured results in the source.

Written by AI from the articles below · updated Nov 2, 9:30 PM ET

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Nov 2
  1. laurenX
    Lauren Tan argues adversarial code reviews waste tokens versus empirical testing

    AILauren Tan (@poteto) says adversarial reviews are mostly a waste of tokens and that those tokens are better spent on empirical testing combined with formal verification. She has reduced use of her pstack interrogate skill and may remove it entirely. She reports little value from abstract code review, which she says leads agents to get lost in nitpicks and YAGNI concerns.

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