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by BrandonJung 1463 days ago
A model is only as god as the code that it trains on and the people it learns from. In your example above we can build a custom model on "best practices" code and not the companies codebase. Our work here has focused on working with ISV's like AWS, GCP, etc as they will have best practices for their tech. We then pull that together for a team in a custom model.
1 comments

Cool, that makes sense.

Do you models incorporate any sort of time-based weighting, where more recent code is weighted more heavily? Seems like that would also help this issue, as more recent code tends to be closer to what we hope future code looks like. But then how do you let best practices evolve over time?