Manage, load, and process datasets from HuggingFace Hub for machine learning training and evaluation.

Track experiments, metrics, and model performance across training runs for reproducible AI research.

Proactively query code graph database to understand relationships and impact of changes before modification.

Generate testable hypotheses from observations, design experiments, and explore competing explanations.