During December 2025, CXL focused on backend development and API reliability for the ml-explore/mlx-lm repository. They addressed a bug where the /v1/models endpoint returned an empty list for locally loaded models by exposing the full local path as the model ID, enabling the web UI to correctly discover and display available models. Their work involved Python-based API development, backend logic adjustments, and comprehensive testing to validate model listing behavior. By aligning the API’s output with internal tooling and customer workflows, CXL improved the reliability and usability of model discovery, though their contributions were limited to bug fixes rather than new features.