Securely indexing large codebases
By securely reusing a teammate's existing index, we cut time-to-first-query from hours to seconds on the largest repos.
Software creation is changing. We are a group of researchers, engineers, and technologists inventing at the edge of what's useful and possible.
We have much to learn, try, and build.



Securely indexing large codebases
By securely reusing a teammate's existing index, we cut time-to-first-query from hours to seconds on the largest repos.
Scaling long-running autonomous coding
We've been experimenting with running coding agents autonomously for weeks at a time.
Dynamic context discovery
As models improve as agents, we've found success by providing fewer details up front, making it easier for the agent to pull relevant context on its own.
Software creation is changing. We are a group of researchers, engineers, and technologists inventing at the edge of what's useful and possible.
We have much to learn, try, and build.



每天看着十几个智能体分支合并已经成为常态,而这种释放出来的开发速度体现在从发布节奏到缺陷积压清理的各个方面。Cursor 不是一个便利性附加工具;它是整个组织的规模倍增器。

我永远不会对在骑 Peloton 时合并 PR 这件事感到不惊讶。我再也不想碰笔记本电脑了。

还得是 Cursor 团队,能把模型的潜力发挥到极致。GPT-5.2 是一个非常强大的模型,但让它持续工作整整一周简直太疯狂了。用它构建一个完整的浏览器更是疯狂至极!

像 Cursor 这样的编码智能体已经成为 AI 的杀手级应用。编码智能体不仅提高了代码创建的速度,还改善了代码质量。

Cursor 不仅帮助我提高了工作效率,还让我更有好奇心和信心去探索新的问题领域。它已经真正成为我日常工作流程中不可或缺的工具。

我们超过 70% 的工程师现在使用 Cursor,我们在日常开发中看到了显著的收益,包括大规模迁移的执行速度更快、调试效率提升,甚至新员工入职速度也更快了。

Securely indexing large codebases
By securely reusing a teammate's existing index, we cut time-to-first-query from hours to seconds on the largest repos.
Scaling long-running autonomous coding
We've been experimenting with running coding agents autonomously for weeks at a time.
Dynamic context discovery
As models improve as agents, we've found success by providing fewer details up front, making it easier for the agent to pull relevant context on its own.
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