During December 2025, Michael Erler updated the IBM/terratorch repository’s tutorial to align with the latest model naming conventions and structural changes. He used Python and Jupyter Notebook to clarify parameter definitions, repair image templating, and remove notebook outputs, thereby improving readability while maintaining code functionality. His work focused on reducing onboarding friction for new developers and ensuring compatibility with newer models, while also preserving backward compatibility. By refining documentation practices and leveraging data science and machine learning skills, Michael enhanced the maintainability of the tutorial. The scope of work was focused but addressed key usability and compatibility challenges in the repository.