# 尽职编程：AI Coding 时代的个体产出差异的来源

DevFeed: [尽职编程：AI Coding 时代的个体产出差异的来源](<https://devfeed.tech/articles/ai-coding-41013.md>)

Original publisher: [Read original article](<https://blog.joway.io/posts/software-engineering-with-ai-coding/>)

Author: Joway

Published: 2026-08-29T00:00:00Z

Content type: opinion

Language: zh

Sources: [Random Thoughts](<https://devfeed.tech/sources/random-thoughts.md>)

Topics: [ai-coding](<https://devfeed.tech/topics/ai-coding.md>), [coding](<https://devfeed.tech/topics/coding.md>), [Claude Code](<https://devfeed.tech/topics/claude-code.md>), [codex](<https://devfeed.tech/topics/codex.md>), [GitHub](<https://devfeed.tech/topics/github.md>)

Tags: [agent](<https://devfeed.tech/tags/agent.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-coding](<https://devfeed.tech/tags/ai-coding.md>), [ai-coding-agent](<https://devfeed.tech/tags/ai-coding-agent.md>), [claude-code](<https://devfeed.tech/tags/claude-code.md>), [codex](<https://devfeed.tech/tags/codex.md>), [coding](<https://devfeed.tech/tags/coding.md>), [github](<https://devfeed.tech/tags/github.md>), [thought](<https://devfeed.tech/tags/thought.md>)

## AI overview

This opinion argues that AI coding tools do not produce equal results because they can execute subtasks but cannot reliably determine all the context and decisions required to complete a larger task. The author proposes "due-diligence programming": humans must question AI, understand its designs, review its output, and reassess systems as they evolve. The article describes an independent Codex review plugin as a way to make that effort visible and encourage more rigorous review.

## Source excerpt

这一年多的时间以来，AI Coding 已经从一个新潮的编程方式变成了默认方式，每个人都用着近乎相似的模型，相似的设备，相似的 Agent，理论上所有人产出的代码水平也应该相似，但如果你在一线工作过，你会发现实际情况恰恰相反，大家的代码产出水平方差反而比以往更大。这是一个相当有意思的话题，但是我却发现在互联网上鲜有人讨论。