Simon Willison 与 Gergely Orosz 讨论：coding agent 让软件工程变得更难
两位资深开发者聊 coding agent 的真实体验：模型能写出接近他们的代码，但生产环境还是离不开人。
Simon Willison 表示，用 coding agent 越久越确信它们让软件工程变得更难，要发挥全部潜力需要极强的纪律和知识。
Gergely Orosz 回应称，在 Opus 4.6 和 GPT-5.
2 及其 harness 出现后，这些模型写代码已接近他最擅长语言的水平，在其他语言上甚至更好。但他认为非开发者在很长时间内、甚至永远无法直接把代码推上生产环境。
The more time I spend working with coding agents, the more convinced I am that they make software engineering even harder We can do amazing things with them, but unlocking their full potential requires extraordinary discipline and knowledge Gergely Orosz @GergelyOrosz Bury your head in the ground at your own risk. I aim to not jump on any hype trains, but since Opus 4.6 and GPT-5.2 + the harnesses it was clear that these things can write code nearly as good as I can in my best language; better in other languages. But we won't see non-devs push production code for a long time; possibly forever, if you ask me. Software still needs to be built in robust ways, and it's our profession to do this well, and use the new tools we have, which create new and interesting (+tough!) challenges 🔗 View Quoted Tweet📊 78 ⚡
本条情报归属 AITOP「技巧」核心栏目，重点聚焦北美前沿实验室与硅谷科技巨头。在跨区域产业观察坐标中，该动态直接关联「AI 开发者工具链、Coding Agent 与工程化实践」研究主线，反映出当前技术演进与商业落地的最新风向。涉及核心实体与技术议题包括：coding agent、Claude Opus 4.6、GPT-5.2、软件工程，读者可通过下方标签进入对应专题页查阅历史脉络与关联对比。
信源核验说明：本文原始线索采编自「Simon Willison」（@simonw），经 AITOP 多维评分管线结构化提炼。
