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Developer builds AI code review gate based on human time cost

By PulseAugur Editorial · [1 sources] ·

A developer has devised a new method for reviewing code changes generated by AI agents, moving away from reading every line to a time-based risk assessment. This approach, tested on a .NET repository, aims to quantify the human minutes required for different types of code reviews. The developer was inspired by a post from Anthropic detailing their code review practices, which focused on optimizing human time and using revert rates as a key performance indicator. AI

IMPACT Offers a novel approach for developers to manage AI-generated code, potentially improving efficiency and reducing review fatigue.

RANK_REASON The item discusses a developer's personal approach to code review inspired by a company's practices, rather than a new product release or research.

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AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Developer builds AI code review gate based on human time cost

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The item discusses a developer's personal approach to code review inspired by a company's practices, rather than a new product release or research.
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COVERAGE [1]

  1. Towards AI TIER_1 English(EN) · Ali Süleyman TOPUZ ·

    Measuring Review in Human Minutes: A Risk-Tier Gate for Agent Pull Requests in .NET

    <h4><em>I stopped trying to read every line an agent writes. Here is the gate I built instead, what it cost in minutes, and the one bug that walked straight through it.</em></h4><h3>The problem I actually had</h3><p>For most of this year my review habit has been the same as it wa…

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