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Earlier this year, we ran experiments to test the limits of scaling agents to cooperate toward a goal. Our hypothesis was that this would unlock a new tier of task scale and complexity.
The flagship project was a long-running swarm
building a web browser from scratch
. It succeeded as a proof of concept, but fell far short of polished software.
That work was deliberately empirical. We started from a blank canvas and
hill-climbed toward a stable, effective system
. Since then, our goal has been to understand the agent swarm well enough to engineer it deliberately.
To test that progress, we returned to a task the old swarm had struggled with: building SQLite from scratch, in Rust, from nothing but its documentation.
Our initial results have been promising. We ran the old and (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://cursor.com/blog/agent-swarm-model-economics)获取最准确的信息。

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🔗 **原文链接**: [Agent swarms and the new model economics](https://cursor.com/blog/agent-swarm-model-economics)
🏷️ **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。
📊 94票 · 👤 jlaneve

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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。

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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⏱️ 2026-07-21 08:01