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I like your method of adding TODOs in your code, then using a model - I am going to try that. I only have a 32G M2 Mac so I have to use Ollama Cloud to run some of the larger models but that said I am surprised by what I can do ‘all local’ and it really is magical running all on my own hardware, when I can.

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The TODOs really help me get my logic sorted out first in pseudocode. Glad to inspire someone else with it!

I've read that GPT-OSS:20b is still a very powerful model, I believe it fits in your Mac's RAM as well and could still be quite fast to output. For me personally, only the more complex questions require a better model than local ones. And then I'm often wondering if LLMs are the right tool to solve the complexity.

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