
Worked on the shipsy/plane repository to deliver end-to-end Customer Category support for Issues, focusing on enhancing business value and traceability. Developed a backend-driven customer_category field using Django and Python, implementing database migrations, serializer design, and REST API endpoints for filtering, grouping, and bulk updates. Integrated the new field into the React-based frontend with TypeScript, updating UI components, filters, and spreadsheet columns, while ensuring proper i18n and localization for English and Portuguese. Added comprehensive activity logging to track customer_category changes, surfacing them in the issue detail panel to improve triage, reporting, and analytics across the issue lifecycle.
June 2026 monthly summary for shipsy/plane focused on delivering end-to-end Customer Category support for Issues, with strong emphasis on business value and traceability. Delivered a backend-driven customer_category field with migrations, serializers, and views, integrated frontend types/stores, and added UI filtering/display and i18n labels. Implemented comprehensive activity logging to capture customer_category changes and surfaced it in the issue detail panel. This work enhances issue triage by customer segment, improves reporting capabilities, and provides a solid foundation for future analytics across the issue lifecycle.
June 2026 monthly summary for shipsy/plane focused on delivering end-to-end Customer Category support for Issues, with strong emphasis on business value and traceability. Delivered a backend-driven customer_category field with migrations, serializers, and views, integrated frontend types/stores, and added UI filtering/display and i18n labels. Implemented comprehensive activity logging to capture customer_category changes and surfaced it in the issue detail panel. This work enhances issue triage by customer segment, improves reporting capabilities, and provides a solid foundation for future analytics across the issue lifecycle.

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