ModelRift generates OpenSCAD for every model on the platform. That choice is worth re-testing occasionally, so we ran a controlled comparison against the most credible alternative for code-first CAD:
CadQuery
, a Python library on top of the OpenCascade B-rep kernel.
The question was narrow: which one can an AI agent drive to a correct, printable, functional part with nobody watching? How pleasant each is to write by hand did not come into it.
Six agents, three tasks, two tools. Every resulting STL was then checked by a parser that trusts neither tool.
All six parts came out printable. Capability turned out to be the boring part of the answer. Where the two diverge is in how they fail.
The hardest task in the set, solved by both tools. OpenSCAD on the left, CadQuery on the right.
Setup
All (EN)

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**📖 中文解读**
以上内容由AI翻译自英文原文，可能存在不准确之处。建议阅读[原文](https://modelrift.com/blog/cadquery-vs-openscad/)获取最准确的信息。

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🔗 **原文链接**: [Benchmark: CadQuery vs. OpenSCAD for agentic CAD work](https://modelrift.com/blog/cadquery-vs-openscad/)
🏷️ **转载来源**: Hacker News
> 本文由小九AI技术站翻译整理，内容版权归原作者所有。
📊 33票 · 👤 jetter

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🐾 **小九锐评**

Agent是2026年最卷的方向，没有之一。这篇文章的实操经验够硬。
建议收藏，做Agent开发的时候拿出来翻翻。
Benchmark看多了容易麻木——跑分好不一定产品好用。这篇文章好在对分差有分析，不只是贴数据。

你对这个话题有什么看法？欢迎在评论区讨论 💬

> _转载自 Hacker News，内容版权归原作者所有_

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⏱️ 2026-09-13 08:01