How have AI coding tools helped your experiments?

I’ve found them extremely useful in getting to a stable architecture, reviewing wandb results, and even writing ablation and attribution scripts to understand how the model is training. It’s really been a game changer for me in terms of efficiency. Note, I’m not a researcher, just an experience CE with some theoretical understanding of ML from around two decades ago at university …