
Developed a comprehensive notification subsystem for the gaesubang-app repository, delivering end-to-end user notification features across mobile and backend layers. The work included designing models, data transfer objects, repository patterns, and use cases for notification retrieval, marking as read, and deletion, all with robust test coverage. Integrated Firebase Cloud Messaging and Cloud Functions to enable real-time notifications, auto-deletion, and unread count management, while ensuring secure data handling with Firestore rules and indexes. Leveraged Dart and Flutter for UI development, implementing seamless navigation and state management. The approach emphasized clean architecture, modular code organization, and thorough debugging to enhance reliability and scalability.
In May 2025, gaesubang-app delivered a comprehensive notification subsystem across mobile and data layers, enabling reliable user notifications and richer engagement. Key outcomes include end-to-end implementation of the notification model, DTOs, data source interfaces, mappers, repository, and use cases (get, mark as read, mark all read, delete), all with test coverage. The UI layer shipped a complete notification experience with item component, screen, notifier, and router integration, aligned with global navigation. Deep platform integration with Firebase/FCM: initialization, token processing service, dependency injection, real Firebase data, and Firebase Functions triggers; added 30-day auto-delete functionality and unread-count handling. Architectural and quality improvements include main-branch separation for the notification module, simplified app initialization, import/rename cleanup, mocks-based testing, and Firestore rules/indexes. Collectively, these changes improve user engagement reliability, reduce maintenance overhead, and position the product for scalable notification features.
In May 2025, gaesubang-app delivered a comprehensive notification subsystem across mobile and data layers, enabling reliable user notifications and richer engagement. Key outcomes include end-to-end implementation of the notification model, DTOs, data source interfaces, mappers, repository, and use cases (get, mark as read, mark all read, delete), all with test coverage. The UI layer shipped a complete notification experience with item component, screen, notifier, and router integration, aligned with global navigation. Deep platform integration with Firebase/FCM: initialization, token processing service, dependency injection, real Firebase data, and Firebase Functions triggers; added 30-day auto-delete functionality and unread-count handling. Architectural and quality improvements include main-branch separation for the notification module, simplified app initialization, import/rename cleanup, mocks-based testing, and Firestore rules/indexes. Collectively, these changes improve user engagement reliability, reduce maintenance overhead, and position the product for scalable notification features.

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