Worked on the alibaba/spring-ai-alibaba repository to address a critical issue in LlmNode streaming output handling. Focused on backend development using Java and Spring AI, the work involved fixing a bug that previously caused only partial LLM responses to be captured, which could disrupt downstream processing and analytics dashboards. The solution ensured that the entire LLM response output, not just the text, was reliably streamed and preserved data integrity for real-time consumption. This required careful debugging, patch delivery, and collaborative code review, resulting in improved end-to-end reliability for streaming outputs within the repository’s AI-driven backend infrastructure.