
Developed the foundational architecture for the gaesubang-app repository, delivering a scalable data layer, domain models, and UI scaffolding to support social features such as posts, comments, and community interactions. Applied clean architecture principles with Dart and Flutter, leveraging dependency injection, repository pattern, and Riverpod for state management. Integrated mock data sources and DTOs to enable isolated, testable workflows, while implementing robust routing and UI components for community and post management. Focused on maintainability through code cleanup, refactoring, and documentation updates, addressing bugs and enhancing stability. The work established a strong base for rapid feature expansion and reliable future development.
May 2025 performance summary: Delivered foundational data layer, domain models, and UI scaffolding for the gaesubang-app, enabling scalable data access and rich social features. Established dependency injection and use cases, integrated post/comment workflows, and community-oriented UI with routing and state management. Implemented key quality improvements to improve maintainability and stability, laying a strong foundation for rapid feature expansion and faster time-to-market.
May 2025 performance summary: Delivered foundational data layer, domain models, and UI scaffolding for the gaesubang-app, enabling scalable data access and rich social features. Established dependency injection and use cases, integrated post/comment workflows, and community-oriented UI with routing and state management. Implemented key quality improvements to improve maintainability and stability, laying a strong foundation for rapid feature expansion and faster time-to-market.

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