Zhewei Yao focused on improving the reliability and maintainability of the command-line interface for the snowflakedb/ArcticTraining repository during April 2025. Working primarily in Python, Zhewei addressed a data consistency issue by updating the CLI’s data access logic, shifting from dictionary-style to attribute-style access for elements in files.data. This change reduced the risk of runtime errors and clarified data access semantics, making future enhancements more straightforward. Although no new features were released, the work demonstrated depth in CLI development and code maintenance, emphasizing stability and long-term usability for users interacting with data through the project’s Python-based interface.