
During October 2025, Mosses focused on backend development for the jellyfin/jellyfin repository, addressing a nuanced issue with data accuracy in paginated listing views. They implemented a fix in C# that corrected the total record count calculation when grouping filters were applied in database queries. This adjustment ensures that the reported total now accurately reflects the actual number of grouped items, directly improving the reliability of pagination and data representation. Drawing on skills in C# and database management, Mosses delivered a targeted solution that resolved a subtle but impactful bug, demonstrating careful attention to the integrity of backend data workflows.

October 2025 monthly summary for jellyfin/jellyfin focused on data accuracy and pagination reliability. Implemented and shipped a fix for total record count calculation after applying grouping filters in the database query. This correction ensures the reported total matches the actual items when results are grouped, improving correctness of pagination and data representation in listing views.
October 2025 monthly summary for jellyfin/jellyfin focused on data accuracy and pagination reliability. Implemented and shipped a fix for total record count calculation after applying grouping filters in the database query. This correction ensures the reported total matches the actual items when results are grouped, improving correctness of pagination and data representation in listing views.
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