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Ask HN: Has anyone replaced Claude/GPT with a local model for daily coding?

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351–360 of 620 posts

Re: Ask HN: Has anyone replaced Claude/GPT with a local model for daily coding?

#351
post #32

The problem with this question is that it encompasses a huge spectrum of capabilities and expectations. If you can only run an 8B model and expect it to be good at vibe coding / one shotting things you're going to have a bad time. If you're able to run a model on the scale of ~30B, you can find that with a reasonably scoped and well defined task they do very well. I've found both Gemma4-31B and Qwen3.6-27B to be the…

My experience with smaller models, in this case specifically GPT 5.4 Mini, is that they cannot two-shot moving a 10-20 line code change to another file without modifying it and introducing bugs. I did not expect perfect reliability, but I thought they could at least get it right on the second attempt once you point out the difference. No such luck, it confidently tells you that now the code is the same, with yet anot…

Is it not faster to just do that move yourself instead of asking the clanker to do it?

Re: Ask HN: Has anyone replaced Claude/GPT with a local model for daily coding?

#354
post #55

For personal needs I connected VSCode with llama.cpp running Qwen 3.6 27B or Gemma 4 31B and it's good enough to cancel my cloud subscription. Qwen running on my 1st GPU at q4@176k context from 70 to 50 tok/s with MTP, pretty good for coding. Gemma on the other hand is using both GPUs, running q8@64k context, doing document sentiment analysis, summarization, proofreading and translating, at consistent 25 tok/s. Somew…

What extension do you use in vscode to connect it to local llama.cpp? Or do you auth with github copilot and then point to localhost? Or something else?

Re: Ask HN: Has anyone replaced Claude/GPT with a local model for daily coding?

#356

I have! I care about data privacy and LLMs being free. I'm using the Pi coding harness but containerized and sandboxed, to make sure it's running completely offline. On my Mac Studio with 128GB RAM (or MacBook with 36GB RAM) I'm using Qwen3.6 35b, with only 3b active parameters so that it runs really fast. I've done a complete redesign for my website's homepage and blog with Django + Wagtail. The latter is interestin…

it might be worth trying oh-my-pi in your case as it claims to improve the edit calls by using a unique patching format.

Re: Ask HN: Has anyone replaced Claude/GPT with a local model for daily coding?

#357
post #88

I've been using MiniMax M2.7 with vllm on my dual Nvidia Spark cluster. Slow (<20 tps) but functional for most of my use cases.

I was just looking and it should be possible to run this one on 3bit quant on my single Spark? Maybe? Depending on context size? Assuming 3-bit doesn't totally lobotomize it.

Re: Ask HN: Has anyone replaced Claude/GPT with a local model for daily coding?

#358

I have! I care about data privacy and LLMs being free. I'm using the Pi coding harness but containerized and sandboxed, to make sure it's running completely offline. On my Mac Studio with 128GB RAM (or MacBook with 36GB RAM) I'm using Qwen3.6 35b, with only 3b active parameters so that it runs really fast. I've done a complete redesign for my website's homepage and blog with Django + Wagtail. The latter is interestin…

> Comparing agentic Qwen3.6 35b to Claude Opus is like a junior with knowledge across the board, that you really need to guide, versus a senior that thinks with you on architecture. that's why i use the frontier models because its a senior co-worker vs a junior. if you use the junior for the sake of privacy i think you're missing out on the best insights for a specific task.

Best insights can be over rated due to bandwith limitation of the brain. Even if Einstein is sitting next to you the whole day and helping out Theory of Bounded Rationality applies.

Re: Ask HN: Has anyone replaced Claude/GPT with a local model for daily coding?

#359
post #4

Not “local” and not interactive coding but sharing since it might be helpful. I have 2x RTX Pro 6000 Blackwell running DeepSeek V4 Flash. I get 160 tok/s raw but it’s a reasoning model. For my use case, I have it auto-write code and another system auto-review the code. I occasionally use it with pi to write some code and it’s blazing fast but it’s mostly habit that keeps me with CC and Codex.

> I have 2x RTX Pro 6000 Blackwell Where did you find/order these? All the sites I can find are either out of stock, only sell to businesses, or are otherwise sketchy...

Central Computer is a good source in my experience: https://www.centralcomputer.com/all-products/ai-components/a...

No affiliation, I've just ordered from them a few times.

Re: Ask HN: Has anyone replaced Claude/GPT with a local model for daily coding?

#360

I have! I care about data privacy and LLMs being free. I'm using the Pi coding harness but containerized and sandboxed, to make sure it's running completely offline. On my Mac Studio with 128GB RAM (or MacBook with 36GB RAM) I'm using Qwen3.6 35b, with only 3b active parameters so that it runs really fast. I've done a complete redesign for my website's homepage and blog with Django + Wagtail. The latter is interestin…

Based on your explanation, it doesn't sound feasible for me, a complete non-engineer, to switch to fully offline? I do a lot of back and forth discussion with LLMs as someone who reads and writes 0 code.
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