Building @SpaceXAI | Rhodes Scholar, Oxford PhD
San Francisco, CA
Joined October 2020
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Luke Melas-Kyriazi retweeted
Introducing Composer 2.5, our most powerful model yet.
It's more intelligent, better at sustained work on long-running tasks, and more reliable at following complex instructions.
For the next week, we’re doubling the included usage of the model.
Very excited to release a new economics paper with @SuproteemSarkar!
Lots of data here on how improvements in AI capabilities change the way developers work.
We partnered with University of Chicago economist @SuproteemSarkar to study how more capable models have changed the way people use Cursor.
Across 500 teams, we find that developers are tackling more ambitious work with AI, with a 68% increase in high-complexity tasks this year.
Key findings:
- On task complexity: Usage initially grows faster in lower-complexity tasks, but then accelerates in higher-complexity tasks
- On firm flexibility: Smaller, private, and newer firms had greater increases in usage
- On variation across industry: Media, software, and financial firms grew fastest
- On task distribution: AI is used relatively more for architecture, documentation, and code review work
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The full paper is available at suproteem.cc/intelligence
Hope you enjoy it and feedback is welcome!
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It's been clear for a while that long-running cloud agents are the future of coding, but I rarely used them because they were a pain to set up and work with.
My favorite part of our new interface is that is makes it seamless to switch between local and cloud!
We’re introducing Cursor 3. It is simpler, more powerful, and built for a world where all code is written by agents, while keeping the depth of a development environment.
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Our first frontier-level model!
It's the result of our first continued pretraining run as well as further scaling RL.
Very excited to hear how people like it! Feel free to send me feedback and we'll incorporate it into future models.
Graphite is joining Cursor.
cursor.com/blog/graphite
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Luke Melas-Kyriazi retweeted
We're super excited to host our third NeurIPS reading group with @LukeMelas, including lunch sponsored by @BoxGroup!
We'll gather 25-30 researchers to discuss Composer, @Cursor_AI's frontier agent model trained with RL, RSVP below!
Would highly recommend checking out @SuproteemSarkar's paper, it's full of insights about how developers use agents and how much more productive they are becoming.
"A difference-in-differences analysis of weekly code merges indicates that software output increased by 39% after the agent became [Cursor]'s default code generation mode."
Who uses AI agents?
How do agents impact output?
How might agents change work patterns?
New working paper studies usage + impacts of coding agents (1/n)
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It's a large MoE trained with RL, more details in the blog post! cursor.com/blog/composer
