
During June 2025, Tola Angel developed and integrated new car search and listing features for the Ssantivl12/RediBo_Back and Ssantivl12/RediBo_Front repositories. Tola implemented Qantastic API endpoints and car availability filtering on the backend using Node.js and Express.js, enabling reliable retrieval of car and host data with date-based queries. On the frontend, Tola refreshed the core codebase and built a comprehensive search and sorting interface in React, incorporating input validation and improved detail views. This work aligned backend and frontend data models, reduced integration friction, and delivered a more scalable, consistent, and user-friendly car search experience.

June 2025 performance summary: Backend and frontend delivered key capabilities for the Qantastic feature and modernized car listings. Backend added Qantastic API endpoints and car availability filtering, enabling reliable retrieval of car data, user info, and host details with date-based availability. Frontend refreshed core codebase and implemented comprehensive car listings search and sorting with input validation and richer detail/host views. The work involved integrating new routes into the main application and aligning UI with backend data models. This delivered faster feature delivery, improved data consistency, and a more scalable, user-friendly car search experience across the app.
June 2025 performance summary: Backend and frontend delivered key capabilities for the Qantastic feature and modernized car listings. Backend added Qantastic API endpoints and car availability filtering, enabling reliable retrieval of car data, user info, and host details with date-based availability. Frontend refreshed core codebase and implemented comprehensive car listings search and sorting with input validation and richer detail/host views. The work involved integrating new routes into the main application and aligning UI with backend data models. This delivered faster feature delivery, improved data consistency, and a more scalable, user-friendly car search experience across the app.
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