@civodul I was actually thinking that if I were to partake in the LLM rush I'd try to use Hydra's build logs train a predictor that'd take a .drv graph (with access to e.g. cmake flags and potentially to inputSources) and predict build errors. If one were to achieve decent accuracy and inference cheaper than the actual builds (plausible for e.g. tensorflow), it could make for better merge trains and rolling release channels