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English(EN) I Made Claude Code and Codex Argue About My Code Until They Agreed

开发者利用 AI 模型查找 AI 生成代码中的错误

一位开发者集成了 OpenAICodex CLIClaude Code,创建了一个用于代码的对抗性审查系统。该系统旨在通过让模型互相批评对方的工作来查找错误,但最初三次未能通过自身的审查流程。这些失败暴露了系统输出捕获、重复发现处理以及命令行参数长度限制方面的实际错误,所有这些错误随后都得到了修复。 AI

影响 展示了一种利用 LLM 查找 AI 生成代码中错误的新颖方法,有望提高代码质量和可靠性。

排序理由 开发者利用现有的 AI 工具创建了一种新颖的代码审查工作流程。

在 dev.to — LLM tag 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

开发者利用 AI 模型查找 AI 生成代码中的错误

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Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
开发者利用现有的 AI 工具创建了一种新颖的代码审查工作流程。
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
product, other
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
55 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

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报道来源 [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Nunc ·

    我让 Claude 编写代码,并让 Codex 就我的代码进行争论,直到它们达成一致

    <p><strong>TL;DR</strong>: I wired OpenAI's Codex CLI into Claude Code as an adversarial reviewer with a convergence loop. Then I pointed the loop at its own implementation. It failed the review three times before passing, and every single failure was a real bug. Here's the whole…