During May 2025, Jibing Li developed an adaptive runtime filter wait time configuration for the Jibing-Li/incubator-doris repository, focusing on backend development and system configuration using Java. The feature dynamically adjusted wait times based on cluster type, table type, and maximum row count, addressing the need for predictable query latency and scalable performance. In cloud deployments, wait times were aligned with query timeouts to optimize resource management, while local deployments adapted to data scale and table types for improved reliability. This targeted approach to performance tuning laid a foundation for more stable and efficient query execution across diverse deployment environments.