The observed vs expected idea is really interesting. Right now Serval is intentionally deterministic, but using post merge history to understand how well the signals actually predicted the impact could be a really useful next step.
I also like the diff level correlation idea. Moving from analyzing a single file to understanding the change as a whole makes a lot of sense.
The main thing I want to preserve is keeping the score deterministic and explainable. I prefer improving the signals behind the score instead of letting the LLM decide the risk.
Thanks again, definitely something I want to experiment with.
I am Kane Lim (telegram@kanelim1997), tech leader of a small private Hong Kong Remote Development Team. We are currently recruiting partners for long-term collaboration to generate revenue.
Thanks, really appreciate the feedback!
The observed vs expected idea is really interesting. Right now Serval is intentionally deterministic, but using post merge history to understand how well the signals actually predicted the impact could be a really useful next step.
I also like the diff level correlation idea. Moving from analyzing a single file to understanding the change as a whole makes a lot of sense.
The main thing I want to preserve is keeping the score deterministic and explainable. I prefer improving the signals behind the score instead of letting the LLM decide the risk.
Thanks again, definitely something I want to experiment with.
Hey friend. Why did you remove me on your address list?