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A guide to local coding models

aiforswes.com

1–10 of 363 posts

Re: A guide to local coding models

#2
I appreciate the author's modesty but the flip-flopping was a little confusing. If I'm not mistaken, the conclusion is that by "self-hosting" you save money in all cases, but you cripple performance in scenarios where you need to squeeze out the kind of quality that requires hardware that's impractical to cobble together at home or within a laptop.

I am still toying with the notion of assembling an LLM tower with a few old GPUs but I don't use LLMs enough at the moment to justify it.

Re: A guide to local coding models

#3
In my experience the latest models (Opus 4.5, GPT 5.2) Are _just_ starting to keep up with the problems I'm throwing at them, and I really wish they did a better job, so I think we're still 1-2 years away from local models not wasting developer time outside of CRUD web apps.

Re: A guide to local coding models

#4
> I realized I looked at this more from the angle of a hobbiest paying for these coding tools. Someone doing little side projects—not someone in a production setting. I did this because I see a lot of people signing up for $100/mo or $200/mo coding subscriptions for personal projects when they likely don’t need to.

Are people really doing that?

If that's you, know that you can get a LONG way on the $20/month plans from OpenAI and Anthropic. The OpenAI one in particular is a great deal, because Codex is charged a whole lot lower than Claude.

The time to cough up $100 or $200/month is when you've exhausted your $20/month quota and you are frustrated at getting cut off. At that point you should be able to make a responsible decision by yourself.

Re: A guide to local coding models

#5
This story talks about MLX and Ollama but doesn't mention LM Studio - https://lmstudio.ai/

LM Studio can run both MLX and GGUF models but does so from an Ollama style (but more full-featured) macOS GUI. They also have a very actively maintained model catalog at https://lmstudio.ai/models

Re: A guide to local coding models

#6
post #2

I appreciate the author's modesty but the flip-flopping was a little confusing. If I'm not mistaken, the conclusion is that by "self-hosting" you save money in all cases, but you cripple performance in scenarios where you need to squeeze out the kind of quality that requires hardware that's impractical to cobble together at home or within a laptop. I am still toying with the notion of assembling an LLM tower with a f…

If you ever do it, please make a guide! I've been toying with the same notion myself

Re: A guide to local coding models

#7

In my experience the latest models (Opus 4.5, GPT 5.2) Are _just_ starting to keep up with the problems I'm throwing at them, and I really wish they did a better job, so I think we're still 1-2 years away from local models not wasting developer time outside of CRUD web apps.

Eh, these things are trained on existing data. The further you are from that the worse the models get.

I've noticed that I need to be a lot more specific in those cases, up to the point where being more specific is slowing me down, partially because I don't always know what the right thing is.

Re: A guide to local coding models

#8
post #4

> I realized I looked at this more from the angle of a hobbiest paying for these coding tools. Someone doing little side projects—not someone in a production setting. I did this because I see a lot of people signing up for $100/mo or $200/mo coding subscriptions for personal projects when they likely don’t need to. Are people really doing that? If that's you, know that you can get a LONG way on the $20/month plans fr…

And as a hobbyist the time to sign up for the $20/month plan is after you've spent $20 on tokens at least a couple times.

YMMV based on the kinds of side projects you do, but it's definitely been cheaper for me in the long run to pay by token, and the flexibility it offers is great.

Re: A guide to local coding models

#9
Cline + RooCode and VSCode already works really well with local models like qwen3-coder or even the latest gpt-oss. It is not as plug-and-play as Claude but it gets you to a point where you only have to do the last 5% of the work

Re: A guide to local coding models

#10
post #5

This story talks about MLX and Ollama but doesn't mention LM Studio - https://lmstudio.ai/ LM Studio can run both MLX and GGUF models but does so from an Ollama style (but more full-featured) macOS GUI. They also have a very actively maintained model catalog at https://lmstudio.ai/models

LMStudio is so much better than Ollama it's silly it's not more popular.
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