English(EN) Why codex might be so slow for you

用户分享提高 OpenAI Codex 缓慢性能的技巧

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-23 22:03

一位 Reddit 用户分享了解决 OpenAI Codex（一款代码生成工具）性能缓慢问题的变通方法。该问题源于 Codex 会对整个应用程序反复运行广泛的测试套件，即使是进行微小的更改。用户发现，通过指示 Codex 只对修改过的部分执行有针对性的测试，并为任何额外的测试提供理由，任务完成时间可以从几小时大大缩短到几分钟。 AI

影响用户可以通过实施有针对性的测试指令来潜在地提高 Codex 的速度和效率。

排序理由用户分享的提高现有 AI 工具性能的技巧。

在 r/OpenAI 阅读 →

Codex
OpenAI

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

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Signal score: 3 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 用户分享的提高现有 AI 工具性能的技巧。
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: Breaking (< 6h); Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准。

报道来源 [1]

r/OpenAI TIER_2 English(EN) · /u/Some-Following-392 · 2026-10-23 22:03

为什么 codex 对你来说可能如此缓慢

<div class="md"><p>So codex was taking longer and longer to do basic tasks. I paid attention to it and realised it was running a full test suite, multiple times, of the entire application i'm developing, even when I ask it to make a small change to one part of the …

本文如何被排名

报道来源 [1]

为什么 codex 对你来说可能如此缓慢

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