326 points threeturn | 2 comments | 31 Oct 25 13:39 UTC | HN request time: 0.446s | 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. woile ◴[31 Oct 25 17:24 UTC] No.45774451[source]▶

>>45771870 (OP) #

I just got a AMD AI 9 HX 370 with 128GB RAM from laptopwithlinux.com and I've started using zed + ollama. I'm super happy with the machine and the service.

Here's my ollama config:

https://github.com/woile/nix-config/blob/main/hosts/aconcagu...

I'm not an AI power user. I like to code, and I like the AI to autocomplete snippets that are "logical", I don't use agents, and for that, it's good enough.

replies(1): >>45774494 #

2. altcognito ◴[31 Oct 25 17:27 UTC] No.45774494[source]▶

>>45774451 (TP) #

What sorts of token/s are you getting with qwen/gemma?

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