Rivian is now a Cursor customer. Rivian selected Cursor for agents that effectively reason over large codebases and offer smooth integrations with core tools like GitLab. Engineers at Rivian are now using Cursor to develop embedded firmware, build digital twins, and streamline code review.
About us
We'd like to automate coding. To advance that mission, we're building Cursor. Our work includes training the world’s most widely used coding models, creating infrastructure that supports billions of requests per day, and building better ways for humans and AIs to work together.
- Website
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http://cursor.com
External link for Cursor
- Industry
- Software Development
- Company size
- 201-500 employees
- Type
- Privately Held
Employees at Cursor
Updates
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We're proposing an open standard for tracing agent conversations to the code they generate. It's interoperable with any coding agent or interface. https://agent-trace.dev
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We're partnering with Infosys to bring AI-assisted software development to global enterprises. As part of the collaboration, Infosys is launching a Center of Excellence to scale Cursor across over 100,000 engineers. Infosys will use Cursor to modernize legacy systems, build new products faster, and embed AI across their SDLC. To learn more, read the full press release: https://lnkd.in/gKkTj-7n
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Semantic search significantly improves coding agent performance. For very large codebases, Cursor's indexing process is now several orders of magnitude faster. https://lnkd.in/gtGWAeWd
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Dropbox uses Cursor for coding agents that can effectively reason over a massive monorepo of more than half a million files. Today, engineers at Dropbox accept over a million lines of agent generated code every month, driving significant improvements in PR velocity and cycle times. Learn more here: cursor.com/blog/dropbox
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Agent Skills are now available in Cursor. Skills let agents discover and run specialized prompts and code. See everything new in Cursor here: https://lnkd.in/gZYf3csQ
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Cursor now uses subagents to complete parts of a task in parallel. Subagents lead to faster overall execution and better context usage. They also let agents work on longer-running tasks. Also new: Cursor can generate images, ask clarifying questions, and more. Learn about everything in 2.4: cursor.com/changelog/2-4