> “ The agent acted like a hyperparameter optimization algorithm with some basic reasoning baked in.”

Good lens.

The crux of the auto research repo is basically one file - program.md which is a system prompt that can be summarized as “do this in a loop: improve train.py, run the training, run evals, record result. Favor simplicity”. The other files are an arbitrary ML model that is being trained.