
Jiandong Tang delivered a comprehensive UI and visual overhaul for the gotolanzhoubuycake/bare-repository, focusing on national focus, event interfaces, and asset refreshes. He introduced new map visualization modes and decision categories, updating the asset pipeline for scalability and maintainability. Working primarily with GML and YAML, Jiandong integrated ARI/TRI assets, enhanced infantry upgrade visuals, and improved loading and event flows. His work addressed localization issues, corrected decision tagging, and resolved merge conflicts, resulting in greater stability and accessibility. The depth of his contributions established a robust foundation for future features, reflecting strong skills in asset management and UI/UX design.
In May 2025, delivered a major UI/visual overhaul and map/asset refresh for the bare-repository, focusing on national focus, event UI, and ARI/TRI assets. Implemented new map visualization modes, decision categories, and infantry upgrade visuals, alongside localization fixes and stability improvements. This work enhances user-facing visuals, engagement, and maintainability of the asset pipeline, providing a scalable foundation for future features.
In May 2025, delivered a major UI/visual overhaul and map/asset refresh for the bare-repository, focusing on national focus, event UI, and ARI/TRI assets. Implemented new map visualization modes, decision categories, and infantry upgrade visuals, alongside localization fixes and stability improvements. This work enhances user-facing visuals, engagement, and maintainability of the asset pipeline, providing a scalable foundation for future features.

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