February 2025 — BCSDLab/KOIN_WEB_RECODE focused on strengthening the Store Detail Page reliability and data quality. Key changes consolidated under the Store Detail Page Reliability Improvements to reduce user-facing errors and improve analytics usefulness.

January 2025 performance summary for BCSDLab/KOIN_WEB_RECODE: Implemented robust error handling and UX improvements around Store ID validation, with a dedicated error boundary component and adjusted Slack error reporting timing to surface incidents at a more informative moment. This work enhanced reliability for non-existent stores and strengthened observability with targeted logging and notifications.

December 2024 delivered reliability, UX, and admin efficiency improvements across BCSDLab/KOIN_WEB_RECODE and BCSDLab/KOIN_ADMIN_V2. Key outcomes include corrected store-level phone display, visual layering fixes, enhanced analytics/logging with AB testing for Store Details, and comprehensive admin modal/benefit management with a table view. These changes improve data accuracy, user experience, and business visibility while reducing duplicates in logging and streamlining admin workflows.

November 2024 monthly summary for BCSDLab development across KOIN_WEB_RECODE and KOIN_ADMIN_V2. Focused on delivering robust, high-value features, stabilizing core components, and improving admin workflows to accelerate business outcomes. Highlights include user-facing carousel improvements, architecture cleanups, and category/store management enhancements.

Summary for 2024-10: Delivered two front-end UI improvements in BCSDLab/KOIN_WEB_RECODE, focusing on user experience and device-agnostic presentation. Event banner carousel PC UI enhancements add navigation controls, a responsive layout, and a placeholder for odd-numbered events to maintain visual balance. Promotional text UI polish in IndexStore improves legibility for mobile/phone-order promotions with a font-size adjustment; no functional changes. No major bugs fixed this month; changes are safe UI refinements and small refactors aimed at stability and consistency across devices.