
Worked on the open-ani/animeko repository to improve the accuracy of episode airing information by addressing a bug that previously included special episodes in main story counts. Focused on backend development and data modeling, the solution involved refining the logic to ensure only main story episodes were considered, thereby enhancing data reliability for both users and analytics. Implemented comprehensive unit and regression tests in Kotlin to validate the new behavior and prevent future regressions. Collaborated with team members through co-authored commits, demonstrating a commitment to code quality and maintainability while making targeted, modular changes within the shared application data module.
September 2025 monthly summary for open-ani/animeko focused on data accuracy for episode airing information. Implemented a targeted bug fix to ensure only main story episodes are counted when calculating airing information, excluding specials that previously skewed results. Added regression tests to lock in correct behavior and prevent regression. The change improves data reliability for users and downstream analytics, with clear traceability to the commit and collaboration with team members.
September 2025 monthly summary for open-ani/animeko focused on data accuracy for episode airing information. Implemented a targeted bug fix to ensure only main story episodes are counted when calculating airing information, excluding specials that previously skewed results. Added regression tests to lock in correct behavior and prevent regression. The change improves data reliability for users and downstream analytics, with clear traceability to the commit and collaboration with team members.

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