Yes. I run local models, Qwen3.6-27B and IMHO the massive level up was the agents and skills files that I've worked on.

Basically I run a flow

Brainstorming > Create Spec > Review Spec* > Create Plans > Review Plan* > Execute Plan (in subagents) > Review Against Plan > Code Review* > Open PR > Finish Plan (marks plan files done)

* Each review step marked with an asterisk uses a paid larger LLM, right now Deepseek V4 Pro. Having it do this catches a lot of small things, and now I'm effectively one shotting any task I give it.

And it's not costing me much at all, just those three reviews. I could use a free model like Gemini but I'm happy with what I've got.

Right on target

Would you mind sharing your HW configuration? Thank you.

Sure. It's just an old I7 8700 (non-k), 64gb ram. Running proxmox. But recently I put an AMD R9700 AI Pro, in there which is a 32gb inference focused card, think of it as a 32gb version of a 9070xt.

All the inference happens on that card, so the CPU/RAM is there for the other containers.

I'll eventually swap the motherboard and CPU for something better, so I can fit 1 or 3 more of those cards.

Why not NVIDIA? 32gb on team green means spending crazy money. And I can get 4 R9700s for the cost of one 32gb 5090.

128gb ... Vs 32gb.