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I've got a local LLM set up for code suggestions and run GitHub copilot for spots where the local isn't good enough. I can start writing out a thought and pseudo implementation and have a mostly viable real implementation instantly which I can then modify to suit my needs. It also takes a lot of the busywork out of things that need boilerplate. The local is trained on the style of my repos so I can keep up with style standards too which is helpful. Also great for explaining legacy code and coming up with more semantic variable names in old code too.
What are you using for your local installation?
I was using mixtral but I'm recently testing out the new llama 3 models, decent improvement and hopefully we'll see some good fine tuned models of it soon