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Ask HN: Who uses open LLMs and coding assistants locally? Share setup and laptop

326 points threeturn | 1 comments | 31 Oct 25 13:39 UTC | HN request time: 0.209s | source

Dear Hackers, I’m interested in your real-world workflows for using open-source LLMs and open-source coding assistants on your laptop (not just cloud/enterprise SaaS). Specifically:

Which model(s) are you running (e.g., Ollama, LM Studio, or others) and which open-source coding assistant/integration (for example, a VS Code plugin) you’re using?

What laptop hardware do you have (CPU, GPU/NPU, memory, whether discrete GPU or integrated, OS) and how it performs for your workflow?

What kinds of tasks you use it for (code completion, refactoring, debugging, code review) and how reliable it is (what works well / where it falls short).

I'm conducting my own investigation, which I will be happy to share as well when over.

Thanks! Andrea.

1. brendoelfrendo ◴[31 Oct 25 16:15 UTC] No.45773733[source]▶
I keep mine pretty simple: my desktop at home has an AMD 7900XT with 20gb VRAM. I use Ollama to run local models and point Zed's AI integration at it. Right now I'm mostly running Devstral 24b or an older Qwen 2.5 Coder 14b. Looking at it, I might be able to squeak by running Qwen 3 Coder 30b, so I might give it a try to test it out.