During January 2026, this developer focused on enhancing the ml-explore/mlx repository by addressing a critical issue in the Random::uniform function. Using C++ and leveraging skills in bug fixing and function optimization, they introduced a missing parameter to support both streams and devices, thereby improving the flexibility and reliability of the random number generation API across various hardware backends. This targeted fix reduced configuration errors and debugging overhead for users running experiments, resulting in more predictable and consistent outcomes. The work demonstrated careful attention to cross-backend compatibility and contributed to the overall stability of the codebase during the period.