
During January 2026, Keiyoushi delivered a major upgrade to the KissLove extension in the keiyoushi/extensions-source repository, focusing on API integration and user experience improvements. They introduced a unified data model for manga and chapters, enhancing data consistency and simplifying maintenance. By leveraging Kotlin and asynchronous programming, Keiyoushi implemented robust response parsing, improved URL construction, and optimized date parsing utilities. The work also included asynchronous genre loading, genre caching, and internationalization updates, resulting in faster and more reliable data retrieval. This project demonstrated depth in API development, data parsing, and localization, addressing both performance and maintainability for international users.
January 2026 monthly summary for keiyoushi/extensions-source: Delivered a major KissLove API Integration Upgrade and targeted performance/UX improvements for the KissLove extension. The changes introduce a unified data model for manga and chapters, enhanced response parsing, robust URL construction, and improved date parsing utilities, resulting in more accurate data retrieval and easier maintenance. Performance optimizations include asynchronous loading and caching for genres, plus sorting fixes and i18n refinements, delivering faster, more reliable user experiences. This work strengthens data reliability, reduces latency, supports international users, and demonstrates proficiency in API integration, asynchronous programming, caching strategies, and localization.
January 2026 monthly summary for keiyoushi/extensions-source: Delivered a major KissLove API Integration Upgrade and targeted performance/UX improvements for the KissLove extension. The changes introduce a unified data model for manga and chapters, enhanced response parsing, robust URL construction, and improved date parsing utilities, resulting in more accurate data retrieval and easier maintenance. Performance optimizations include asynchronous loading and caching for genres, plus sorting fixes and i18n refinements, delivering faster, more reliable user experiences. This work strengthens data reliability, reduces latency, supports international users, and demonstrates proficiency in API integration, asynchronous programming, caching strategies, and localization.

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