[computerex]

That's not how these large language models work. They don't need to be trained or fine tuned on the code of your company. They are so large, and their training corpus is so all encompassing that they generalise well to any codebase without any fine tuning.

That's what "in context" learning is. The input to the model will be code from your company. This input will have enough information for the model to do autocomplete/etc.