During February 2026, Li Xingguo focused on backend performance optimization for the Tencent/WeKnora repository, specifically enhancing the GrepChunksTool. He introduced a caching layer for token sets to eliminate redundant maximum marginal relevance computations, and implemented swap deletion to streamline slice deletions. These Go-based improvements reduced CPU usage and memory churn, enabling faster processing of larger datasets and improving overall responsiveness. Li’s work demonstrated a strong grasp of Go programming and performance engineering, with incremental, well-documented commits that prioritized maintainability and code quality. The depth of his contributions addressed scalability challenges and resulted in a more efficient token selection workflow.