alt Hacker NewsAn NVIDIA DGX Spark is $4000, pair that with a relatively cheap second box to run GitLab in the corner and you would have pretty good local AI inference setup. (you'd probably have to write a nontrivial amount of software to get your setup where you want)
The local models are just right on the edge of being really useful, there's a tipping point to where accuracy is high enough so that getting things done is easy vs models getting continuously stuck. We're in the neighborhood.
Alternatively, just have local GitLab and use one of the many APIs, those are much more stable than github. Honestly just get yourself a Claude subscription.
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I can't say I'm not tempted looking at the Spark, I could probably save some cash on heating my house with that thing. Though yeah unless there's some good software already built around a similar LLM workflow I could use it'd probably be wasted on me, or spend its time desperately trying to pay for itself with crypto mining.
Adding Claude to my rotation is starting to look like the option with the least amount of building the universe from scratch. I have to imagine it can be used in a similar or identical workflow to the Copilot one where it can create PRs and make adjustments in response to feedback etc.
The DGX Spark is not good for inference though it's very bandwidth limited - around the same as a lower end MacBook Pro. You're much better off with a Apple silicon for performance and memory size at the moment but I'd recommend holding off until the M5 Max comes out early in the early as the M5 has vastly superior performance to any other Apple silicon chip thanks to its matmul instruction set.