
During October 2025, Maxime contributed to the keiyoushi/extensions-source repository by delivering two core features focused on scalable manga data ingestion and efficient retrieval. He developed the BigSolo Manga Source Extension using Kotlin and Gradle, implementing HttpSource, structured DTOs, and in-memory caching to optimize series data access and error handling. Maxime also integrated the ScanR multi-source template, migrating BigSolo to this new architecture and onboarding Les Poroiniens as an additional source. His work standardized multi-source management, reduced ongoing maintenance, and established a maintainable, template-driven pipeline for future sources, demonstrating depth in API integration, data modeling, and Android development.

October 2025 monthly summary for keiyoushi/extensions-source: Delivered two major features enabling scalable, reliable multi-source manga data ingestion and faster data retrieval. Achievements include implementing BigSolo Manga Source Extension with HttpSource, DTOs, improved error handling, and in-memory caching; integrating the ScanR multi-source template, migrating BigSolo to the template, and adding Les Poroiniens as a new source to standardize multi-source management. These changes yield faster series data access, reduced per-source maintenance, and a maintainable, template-driven pipeline for onboarding future sources.
October 2025 monthly summary for keiyoushi/extensions-source: Delivered two major features enabling scalable, reliable multi-source manga data ingestion and faster data retrieval. Achievements include implementing BigSolo Manga Source Extension with HttpSource, DTOs, improved error handling, and in-memory caching; integrating the ScanR multi-source template, migrating BigSolo to the template, and adding Les Poroiniens as a new source to standardize multi-source management. These changes yield faster series data access, reduced per-source maintenance, and a maintainable, template-driven pipeline for onboarding future sources.
Overview of all repositories you've contributed to across your timeline