
During March 2026, Mosong worked on the alibaba/nacos repository, building an AI Skill Management Infrastructure that consolidated skill storage, introduced versioning, and enabled server-side loading for faster, safer access. Leveraging Java, SQL, and the Spring framework, Mosong designed per-resource storage and multi-version indexing, reducing database reads and improving data integrity. The work included stabilizing the skill submission workflow, hardening download security with integrity validation and path traversal protections, and decoupling download tracking. Mosong also refactored the Skill model hierarchy and expanded unit testing, resulting in improved performance, reliability, and maintainability across the backend AI modules and related APIs.
March 2026 delivered the AI Skill Management Infrastructure with versioning and server-side loading, enabling faster skill access and safer, cache-backed delivery; stabilized the skill submission workflow, and hardened download security. Together with refactoring and tests, these efforts improved performance, reliability, and release discipline while reducing DB reads and ensuring data integrity across versions.
March 2026 delivered the AI Skill Management Infrastructure with versioning and server-side loading, enabling faster skill access and safer, cache-backed delivery; stabilized the skill submission workflow, and hardened download security. Together with refactoring and tests, these efforts improved performance, reliability, and release discipline while reducing DB reads and ensuring data integrity across versions.

Overview of all repositories you've contributed to across your timeline