During December 2025, Fang Junjie focused on backend reliability for the alibaba/spring-ai-alibaba repository, addressing a critical issue with Jina connection timeouts in streaming AI workflows. He resolved persistent timeout errors by updating the application.yml configuration, optimizing streamable HTTP connections to handle peak loads more effectively. This targeted bug fix improved overall uptime and stability, directly enhancing the user experience for production AI workloads. Fang Junjie applied his expertise in backend development and configuration management, leveraging YAML to implement robust deployment practices. His work demonstrated a thoughtful approach to network resilience, addressing a nuanced reliability challenge with depth and precision.