Xander Tang delivered Chinese localization for the Interviewer Assistant in the lobehub/lobe-chat-agents repository, focusing on establishing foundational internationalization support. He introduced a new Chinese localization JSON file, ensuring that language assets followed standardized naming conventions to streamline future localization efforts. By consolidating the localization structure and updating file organization, Xander prepared the codebase for scalable multilingual support. His work centered on internationalization best practices and careful JSON structuring, addressing the need for broader language accessibility. While the contribution was limited to one feature over a month, it laid essential groundwork for future enhancements in localization and internationalization readiness.