
During July 2026, contributed to the keiyoushi/extensions-source repository by developing two new RU Tachiyomi extensions, AstraManga RU and Tomilo-lib RU, both utilizing a DTO-driven data model to streamline manga, chapter, and page data mapping. The work involved major refactoring to encapsulate data logic within DTO classes, introducing helper methods and improving maintainability for future extension scaling. Addressed a critical pagination bug in the InkStory extension by correcting page parameter calculations and total hits checks. Leveraged Kotlin, JSON serialization, and API integration to enhance data fidelity, support configurable user filters, and ensure reliable manga data retrieval for Russian users.
July 2026 monthly summary for keiyoushi/extensions-source: Highlights include two new RU Tachiyomi extensions (AstraManga RU and Tomilo-lib RU) built with a DTO-driven data model, major refactors to encapsulate data logic in DTOs, and a critical InkStory pagination fix. These changes expand market reach, improve data fidelity, and reduce maintenance cost. Tech stack: Kotlin, DTO-centric architecture, helper methods, and versioned releases. Business impact: increased RU user adoption, more reliable manga data retrieval, and faster future extension work.
July 2026 monthly summary for keiyoushi/extensions-source: Highlights include two new RU Tachiyomi extensions (AstraManga RU and Tomilo-lib RU) built with a DTO-driven data model, major refactors to encapsulate data logic in DTOs, and a critical InkStory pagination fix. These changes expand market reach, improve data fidelity, and reduce maintenance cost. Tech stack: Kotlin, DTO-centric architecture, helper methods, and versioned releases. Business impact: increased RU user adoption, more reliable manga data retrieval, and faster future extension work.

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