Arthur focused on refining the BatchGenerator API in the ml-explore/mlx-lm repository, delivering a feature that removed the logits_processors parameter from the batch_generate function. This adjustment shifted logits processing to an internal mechanism, reducing the API’s surface area and simplifying usage for downstream users. By consolidating logits handling, Arthur improved maintainability and set the groundwork for future extensibility. The work was implemented in Python, leveraging skills in data processing and machine learning. Throughout the process, Arthur collaborated closely with peers, adhered to established Git workflows, and contributed to a cleaner, more robust codebase, though the scope was limited to a single feature.