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Composer: Building a fast frontier model with RL

cursor.com

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Re: Composer: Building a fast frontier model with RL

#91

Post by lubujackson »

vidarh wrote: post #31
jonasnelle wrote: post #12

Cursor has the best Tab model, and I feel like their lead there has kept growing - they're doing some really cool things there. https://cursor.com/blog/tab-rl I wonder how much the methods/systems/data transfer, if they can pull off the same with their agentic coding model that would be exciting.

I feel like that's like having a lead in producing better buggy whips. I run Claude Code in the background near constantly for a variety of projects, with --dangerously-skip-permissions, and review progress periodically. Tabbing is only relevant when it's totally failing to make progress and I have to manually intervene, and that to me is a failure scenario that is happening less and less often.

This is just a completely different use of LLMs and has little to do with working at a real business with a live site and users. Cursor is great when you want to gain understanding of an issue quickly, or resolve something clear and specific quickly.

I'm not against YOLO vibe coding, but being against tab completion is just insane to me. At the end of the day, LLMs help you achieve goals quicker. You still need to know what goal you want to achieve, and tab completion basically let's me complete a focused goal nearly as soon as I determine what my goal is.

Re: Composer: Building a fast frontier model with RL

#92

Post by lubujackson »

neuronexmachina wrote: post #84

For anyone else who was wondering, it looks like the within-Cursor model pricing for Cursor Composer is identical to gemini-2.5-pro, gpt-5, and gpt-5-codex: https://cursor.com/docs/models#model-pricing ($1.25 input, $1.25 cache write, $0.13 cache read, and $10 output per million tokens)

I'm curious if their near-term expectation is that this is be better than these models or is this a model they tend to use in Auto mode, or if the focus is really if you want speed...? I guess my question is why would I actively chose this over Auto?

Re: Composer: Building a fast frontier model with RL

#95

Post by juanma0216 »

srush wrote: post #16

Hi everyone, I am an ML researcher at Cursor, and worked on this project. Would love to hear any feedback you may have on the model, and can answer question about the blog post.

I prefer the approach of focusing on faster models despite their lower intelligence because I want my IDE to fly when I can see the code. I find this useful when I need to manually debug something that any model is able to do, so I know it's going to fail but at least it will fail fast. On the other hand, if I need more intelligence I have my other CLI that doesn't allow me to see the code but gets the planning and difficult code done.

Re: Composer: Building a fast frontier model with RL

#96

Post by timcobb »

jasonjmcghee wrote: post #11

Maybe I'm an outlier but Sonnet 4.5 quality is about as low as I'm willing to go. It's generation speed is not the problem or the time sink. It's wrestling with it to get the right output. --- And just to clarify as maybe I misunderstood again but people are comparing cursor to Claude Code and codex etc here- isn't this whole article all cursor just using different models?

Same... I've found that using a non-Claude model just ends up being more expensive and not worth it. "Auto" tokens are hardly free, and I've had plenty of experiences putting "Auto" to work on a "simple" seeming task to have it consume like 1 USD of tokens quite quickly while producing nothing of value, when I'd replay with Claude 4.5 Sonnet non-thinking and it would provide a solid solution for 0.5 USD.

Re: Composer: Building a fast frontier model with RL

#97

Post by sebdufbeau »

timcobb wrote: post #93

I wish it was easy to find out how much it costs relative to Claude :)

As a stealth model, it was priced as $1.25M in / $10M out

Right now, it seems free when you are a Cursor Pro user, but I'd love more clarity on how much it will cost (I can't believe it'll be unlimited usage for subscribers)

Re: Composer: Building a fast frontier model with RL

#98

Post by srush »

juanma0216 wrote: post #95
srush wrote: post #16

Hi everyone, I am an ML researcher at Cursor, and worked on this project. Would love to hear any feedback you may have on the model, and can answer question about the blog post.

I prefer the approach of focusing on faster models despite their lower intelligence because I want my IDE to fly when I can see the code. I find this useful when I need to manually debug something that any model is able to do, so I know it's going to fail but at least it will fail fast. On the other hand, if I need more intelligence I have my other CLI that doesn't allow me to see the code but gets the planning and d…

Our view is that there is a now a minimal amount of intelligence that is necessary to be productive, and that if you can pair that with speed that is awesome.

Re: Composer: Building a fast frontier model with RL

#99

Post by srush »

MysticFear wrote: post #74
srush wrote: post #16

Hi everyone, I am an ML researcher at Cursor, and worked on this project. Would love to hear any feedback you may have on the model, and can answer question about the blog post.

There is a youtube livestreamer building with it now, if you are looking for direct feedback: https://www.youtube.com/watch?v=1bDPMVq69ac

neat!

Re: Composer: Building a fast frontier model with RL

#100

Post by srush »

carlosbaraza wrote: post #75
srush wrote: post #16

Hi everyone, I am an ML researcher at Cursor, and worked on this project. Would love to hear any feedback you may have on the model, and can answer question about the blog post.

How do you work with multiple agents?

We train with a single agent. is that the question?
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