This is actually a game changer. I’ve been meaning to want to run models to accomplish exactly this, but don’t have enough VRAM on my GPU for the conventional LLM-method for the most part. This seems to be a far more efficient method of accomplishing a more scoped problem. Thank you for making it open source!
Show HN: Sweep, Open-weights 1.5B model for next-edit autocomplete
81–90 of 160 posts
Re: Show HN: Sweep, Open-weights 1.5B model for next-edit autocomplete
#82Sometimes when I use a plugin like this I get reminded just how much of a productivity nerf it is to code without an autocomplete AI. Honestly in my opinion if you write a lot of boilerplate code this is almost more useful than something like Claude Code, because it turbocharges your own train of thought rather than making you review someone else's, which may not align with your vision. This is a really good plugin.…
Hopefully not too offtopic: why so much boilerplate?
I see most would-be-boilerplate code refactored so the redundant bit becomes a small utility or library. But most of what I write is for research/analysis pipelines, so I'm likely missing an important insight. Like more verbose configuration over terse convention?
For code structure, snippets tempting[1] ("iff[tab]" => "if(...){...}") handles the bare conditional/loop completes in a more predictable way and offline/without a LLM eating into RAM.
[1] https://github.com/joaotavora/yasnippet; https://github.com/SirVer/ultisnips; https://code.visualstudio.com/docs/editing/userdefinedsnippe...
Re: Show HN: Sweep, Open-weights 1.5B model for next-edit autocomplete
#83Sometimes when I use a plugin like this I get reminded just how much of a productivity nerf it is to code without an autocomplete AI. Honestly in my opinion if you write a lot of boilerplate code this is almost more useful than something like Claude Code, because it turbocharges your own train of thought rather than making you review someone else's, which may not align with your vision. This is a really good plugin.…
I agree with you. I do have some local model LLM support configured in Emacs, as well as integration with gemini 3 flash. However, all LLM support is turned off in my setup unless I specifically enable it for a few minutes.
I will definitely try the 1.5B model but I usually use LLMs by taking the time to edit a large one-shot prompt and feed it to either one of the new 8B or 30B local models or to gemini 3 flash via the app, web interface, or API.
Small purpose-built models are largely under-appreciated. I believe that it is too easy to fall into the trap of defaulting to the strongest models and to over rely on them. Shameless plug: it is still incomplete, but I have released an early version on my book ‘Winning Big With Small AI’ - so, I admit my opinions are a little biased!
Re: Show HN: Sweep, Open-weights 1.5B model for next-edit autocomplete
#84Can this be used offline in Jetbrain IntelliJ? Looking at the plugin, it looks like it requires sign in and then it uses the cloud based model instead of the local one. Can't tell.
Re: Show HN: Sweep, Open-weights 1.5B model for next-edit autocomplete
#85This is really awesome detail. I’m very impressed by the amount of care taken to identify a good template. I started a small hook to try and do this using DSPy prompt optimizers, but haven’t had a compelling use case to try it with.
This seems like an ideal case for trying DFT as well. I’m not sure if you’re using trl, but I’d suggest checking that out.
Re: Show HN: Sweep, Open-weights 1.5B model for next-edit autocomplete
#86Sometimes when I use a plugin like this I get reminded just how much of a productivity nerf it is to code without an autocomplete AI. Honestly in my opinion if you write a lot of boilerplate code this is almost more useful than something like Claude Code, because it turbocharges your own train of thought rather than making you review someone else's, which may not align with your vision. This is a really good plugin.…
I agree with you. I do have some local model LLM support configured in Emacs, as well as integration with gemini 3 flash. However, all LLM support is turned off in my setup unless I specifically enable it for a few minutes. I will definitely try the 1.5B model but I usually use LLMs by taking the time to edit a large one-shot prompt and feed it to either one of the new 8B or 30B local models or to gemini 3 flash via…
do you know a good way to give context files in emacs? currently i have to either do ctrl-x+h to select file content of individual files to give to ai or copy files themselves from ai's chat interface. I would much prefer selecting all files at once and get their content copied to clipboard.
Re: Show HN: Sweep, Open-weights 1.5B model for next-edit autocomplete
#87I dont want to hand edit i want the output of better ai model with edit instructions like //update here
// new code insert here etc. and local model read the files and apply the updates.
I tried generating patch format but both bigger models fail to generate it accurately and smaller models have hard time in using them.
Is there some way to do this with this kind of model? or its for completions while editing only?Re: Show HN: Sweep, Open-weights 1.5B model for next-edit autocomplete
#88Earlier quoted context omitted.
I've been using it with the Zed editor and it works quite well! Congrats. This kind of AI are the ones I like and I'm looking to run in my workstation.
Could you give the gist / config on how you made it work with Zed ?
+1, I wasn't able to make it work on zed either and It would really help if woile can tell how they made it work on their workstation.
Re: Show HN: Sweep, Open-weights 1.5B model for next-edit autocomplete
#89Earlier quoted context omitted.
Glad to hear I'm not alone, the latest releases of JetBrains have been so bad I finally cancelled my subscription. VSCode has been a nice surprise, "its giving old emacs" as the kids would say.
I am curious about how both of you think Jetbrains is dropping the ball so much that you are no longer buying the tool. You are still using it but no longer getting updates?
I use free RustRover for my open source work. I have not purchased a (new) license for my commercial work, because I haven't been getting as much value as it since my flow has switched to primarily agentic.
Mainly, they're pushing Junie and it just isn't that good or compelling, when faced off against the competition.
The key thing for me is that I think they had an opportunity here to really rethink how LLMs could interact with an editor since they potentially controlled both the editor and the LLM interaction. But they just implemented another chat-based interaction model with some bells and whistles, and also were late getting it out really, and what they delivered seemed a bit meh.
I was hoping for something that worked more closely inside the editing process, inline in the code, not just completions and then an agentic log alongside.
I also don't like that I can't seem to get it to work with 3rd party LLM providers, really. It seems to allow specifying an OpenAI API compatible endpoint, but it's janky and doesn't seem to allow me to refresh and manage the list of models properly?
It just still seems half-baked.
I love Opus and I am a heavy CC user now, but I don't like that Claude Code is taking me out of my IDE, away from hands on with the code, and out of my editing process.And I don't like how it tries to take over and how weak its review flow is. I end up almost always with surprises during my review process, despite my finding the quality of its code and analysis quite good. To me there was a real chance here for a company like JetBrains to show its worth in applying AI in a more sensible way than Anthropic has.
VSCode and Zed have no appeal to me though. I've mostly gone back to emacs.
In the meantime, their IDEs themselves feel a bit stalled in terms of advancement. And they've always suffered from performance problems since I started using them over 20 ago.
Re: Show HN: Sweep, Open-weights 1.5B model for next-edit autocomplete
#90Very cool! I understand that the 1.5B is small enough to run locally... but does it actually in the Sweep AI Jetbrains plugin? That is, if I install the plugin, will I download the model automatically and the plugin doesn't phone home?
no, as far as I can see there is no way to configure the Jetbrains plugin to use a local endpoint.
Why not?
Can someone make a better plugin?