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Composer: Building a fast frontier model with RL

cursor.com

11–20 of 169 posts

Re: Composer: Building a fast frontier model with RL

#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.

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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?

Re: Composer: Building a fast frontier model with RL

#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.

Re: Composer: Building a fast frontier model with RL

#13
post #6

I love Cursor. I've tried Copilot/Claude/etc. but keep coming back to Cursor. I just want to work, and Cursor tab complete is dang accurate, esp. for refactoring tasks.

I tried going back to VS Code + Copilot a month ago. I only lasted 4 days because it was to bad. It was super slow and gave poor suggestions, but mostly it just flat out did not suggest anything. Cursor feels snappy in comparison and the suggestions are more often than not useful. The most annoying thing about Cursor tab complete, is that it is so fast that when I am doing something unusual then it will keep on jumping in with useless suggestions. They have a snooze function for this though.

Re: Composer: Building a fast frontier model with RL

#15

People on here love to be contrarian about Cursor, but I’ve tried all the popular alternatives (Copilot, Claude Code, Codex, Gemini CLI, Cline) and found Cursor’s overall experience to just be unmatched. A big part of that is its speed, another its reliability. It’s the only coding agent I’m actually really motivated to use out of the box because it really does make me feel more productive while the others keep messi…

I dropped cursor for the precise reason you mention: reliability.

Countless times my requests in the AI chat just hang there for 30+ seconds more until I can retry them.

When I decided to give Claude Code a try (I thought I didn't need it because I used Claude in Cursor) I couldn't believe how faster it was, and literally 100% reliable.

EDIT: given today's release, decided to give it a go. The Composer1 model _is_ fast, but right at the second new agent I started I got this:

> Connection failed. If the problem persists, please check your internet connection or VPN

Re: Composer: Building a fast frontier model with RL

#18
post #9
post #5

I wonder if this custom model is trained on cursor users. There’s a lot of potential on how much better a custom model could be the closer it is integrated with the product. Having the model learn to adapt to different user preferences would make it stand out compared to memoryless frontier models.

The fact that you are wondering this is bad. You definitely should know this. _ALL_ the online ai providers are training on your data. They have more expensive enterprise plans if want to opt out.

I’ve generally seen providers allow you to opt in or out. What may vary is what the default is and what they may offer in exchange for using your data (perhaps they could offer higher rate limits).

Re: Composer: Building a fast frontier model with RL

#19

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.

We also are big Tab users here at Cursor. In the blog we talk about the motivation for this project came from thinking about a Tab-like agent.
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