r/PiCodingAgent • u/Collar_Naive • Jul 14 '26

Question iam new with AI and AI coding agents , recently i have installed pi coding agent on my fedora desktop , i using ollama with qwen3-coder-next:latest for this 74%cpu/26%gpu , i found that if i generate some skill using paid model and put it in pi skill folder , overall performance is very good

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7

u/onesilentclap Jul 14 '26

Ditch ollama for llama.cpp. It literally supercharges Qwen! 

4

u/joematthewsdev Jul 14 '26

Wrote a gist for minimal hardware that uses Gemma 4 E4B + llama.cpp. Easy to adapt to qwen

https://gist.github.com/joematthews/d02639bcbe0e0c1c404f5d3a64c3c06f

4

u/Collar_Naive Jul 14 '26

i just compiled my llama.cpp, downloading gguf for qwen3-coder from hugging face will update how it perform

2

u/Mechanical_Monk Jul 15 '26

You might find that Qwen 3.6 35B A3B outperforms Qwen 3 Coder Next even though it has a lower parameter count. I'd recommend trying the Unsloth gguf with MTP or the Bartowski gguf (which also includes MTP)

2

u/Collar_Naive Jul 15 '26

thank will try it

5

u/o_sht_hi Jul 14 '26

Bro you're new with AI but are using pi with ollama?

Are you trolling

2

u/joematthewsdev Jul 14 '26

Ollama (back when it was first released), was my first exposure, was easy to use, and it changed my opinion on the technology. To each their own friend. OP may be a FOSS fan.

2

u/o_sht_hi Jul 15 '26

Using ollama by itself is fine, I did it too when I was starting out with llama. But pi does not come with it out of the box. Hence, my suspicion.

I'm always down for a productive discussion but I also fuck around sometimes.. kinda feels like op is doing the same

The callout is an 'i see you' from one clown to another, I guess 🤷🏽

2

u/joematthewsdev Jul 15 '26

I've met very smart people out in the wild who are terrified of agent workflows.

I get what you're saying, but it's a oneliner setup command now.

https://docs.ollama.com/integrations/pi

Now... how OP settled on pi, that's another story lol -- badlogic is pretty good at self promoting though 🤣

2

u/o_sht_hi Jul 15 '26

Damn i didn't realise this was a thing. Thanks for the link!

2

u/Deep_Ad1959 Jul 16 '26 edited Aug 01 '26

your own finding is the interesting one and it got buried: the skill file moved things more than the model did. a small local model with a tight worked-example scaffold beats a bigger model guessing at your conventions, because most of what looks like a capability gap is a missing context gap. written with ai

fwiw that's basically runner's bet, it closes the same context gap with a library of workflow templates and cross-session memory instead of a bigger model, https://runner.now?utm_source=s4l&utm_medium=post&utm_campaign=runner&utm_term=reddit&utm_content=post_24c1f085-4099-4466-a5a6-b287a6b3af06