
In February 2025, Boris Krisanov enhanced the lichess-org/lila repository by refining how user profile study counts are calculated to better respect privacy. He implemented a viewer-aware filter in Scala, ensuring that only studies which are public or accessible to the viewer are included in the profile count, while private studies are excluded. This backend development work introduced the hasMemberOrIsPublic filter, aligning visible profile metrics with actual user permissions. The focused change improved the accuracy of public-facing data and addressed privacy concerns, demonstrating a thoughtful approach to user data handling and access control within a Scala-based backend environment.

February 2025 (Month 2025-02) monthly summary for lichess-org/lila focused on privacy-aware study visibility integration. Implemented a viewer-aware filter so user profile Study counts reflect only publicly visible or viewer-accessible studies; private studies now excluded from the owner's profile count. This improves accuracy of public metrics, enhances privacy, and aligns profile data with what is visible to other users.
February 2025 (Month 2025-02) monthly summary for lichess-org/lila focused on privacy-aware study visibility integration. Implemented a viewer-aware filter so user profile Study counts reflect only publicly visible or viewer-accessible studies; private studies now excluded from the owner's profile count. This improves accuracy of public metrics, enhances privacy, and aligns profile data with what is visible to other users.
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