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kevinlu1248

HN member
Joined
Sat, Mar 18, 2023, 5:48 AM UTC
HN karma
137
Public activity
103 items

About kevinlu1248

building next edit autocomplete for jetbrains

Recent public activity

  1. comment
    Comment #46739776

    Ya definitely, that makes total sense. It feels to me that currently the labs have great researchers, who only care about making models perform better across raw intel and then the…

  2. comment
    Comment #46735768

    We have an explanation here: https://blog.sweep.dev/posts/next-edit-jetbrains#next-edit-a... But basically suggesting changes away from your cursor position

  3. comment
    Comment #46735759

    It's a bit undertrained on C#, we'll continue improving on this!

  4. comment
    Comment #46727575

    Also wish Fleet took off, not a fan of installing a new IDE for every separate repo that's in a different language

  5. comment
    Comment #46727563

    I've done some testing before and many of the new Jetbrains internal plugins cause memory leaks which really lags down my IDE...

  6. comment
    Comment #46727435

    Definitely agree here, have had so many cases where I would like ask Claude for XYZ, then ask for XYZ again but with a small change. Instead of abstracting out the common code it w…

  7. comment
    Comment #46727353

    We currently integrate with Jetbrains' PSI

  8. comment
    Comment #46727332

    Honestly I think we can improve our training throughput drastically via a few more optimizations but we've been spending most of our time on model quality improvements instead.

  9. comment
    Comment #46727316

    You can see that Qwen3 does worse than Qwen2.5 on our benchmark. Reason is it's never been pretrained for FIM / autocomplete.

  10. comment
    Comment #46727279

    Not at the moment but we do host it for our Jetbrains plugin

  11. comment
    Comment #46727268

    Yes, I've used it to write blog posts / large user-facing copy.

  12. comment
    Comment #46727261

    Are you using the right format? https://huggingface.co/sweepai/sweep-next-edit-1.5B/blob/mai...

  13. comment
    Comment #46727257

    ^ these were pretty much the main reasons. The other one is that constrained decoding only works on CFGs (simpler grammars like JSON schemas) since only these ones can produce auto…

  14. comment
    Comment #46727199

    Unfortunately, the main optimization (3x speedup) is using n-gram spec dec which doesn't run on CPUs. But I believe it works on Metal at least.

  15. comment
    Comment #46727168

    Haha, we never trained it for chat but I would bet it works regardless. Also that's crazy, M4 Mac?

  16. comment
    Comment #46727158

    Our hosted autocomplete is coming to Zed in a few weeks.

  17. comment
    Comment #46727143

    We'll push to Ollama

  18. comment
    Comment #46727142

    Let me know if you have any questions! What hardware are you on?

  19. comment
    Comment #46727138

    We're using an internal fork of trl for some of the steps.

  20. comment
    Comment #46727129

    Personally, I think usable AI is more valuable than simply more intelligence. Many of the labs are pushing towards models that are 1% better on CodeForces and AIME if you just let …

  21. comment
    Comment #46727096

    Double-check if you're using the right format. Example here: https://huggingface.co/sweepai/sweep-next-edit-1.5B/blob/mai...

  22. comment
    Comment #46727074

    Woops meant to say open-weight. We put open-weight in the title and but accidentally wrote open-source in the description.

  23. comment
    Comment #46727065

    Someone in this thread already built a Neovim plugin connecting to this model I believe.

  24. comment
    Comment #46727064

    Also more technical details on SFT data here: https://blog.sweep.dev/posts/next-edit-jetbrains#building-au...

  25. comment
    Comment #46727056

    Thanks! Let us know if you have any questions / feedback.