
Eden Kahane developed and enhanced core features for the BookswapEPFL/Bookswap repository, focusing on robust data modeling, image handling, and application lifecycle improvements. Over two months, Eden implemented universal UUID adoption for stable cross-system references, integrated ChatGPT for enriched databook images, and improved user workflows such as ISBN-to-edit transitions. The work emphasized reliability through comprehensive testing, code cleanup, and error handling, using Kotlin, Jetpack Compose, and Firebase. Eden also strengthened backend integration and notification services, ensuring smoother data flows and app stability. The engineering approach balanced new feature delivery with maintainability, resulting in a more scalable and testable codebase.

December 2024 — BookswapEPFL/Bookswap: Delivered user-facing enhancements and reliability improvements across ChatGPT integration, ISBN-to-edit flows, app lifecycle and notifications, and code quality. The work focused on business value: more reliable data flows for ChatGPT, smoother edit workflows, and stronger app stability across critical screens and data paths.
December 2024 — BookswapEPFL/Bookswap: Delivered user-facing enhancements and reliability improvements across ChatGPT integration, ISBN-to-edit flows, app lifecycle and notifications, and code quality. The work focused on business value: more reliable data flows for ChatGPT, smoother edit workflows, and stronger app stability across critical screens and data paths.
November 2024 monthly summary for BookswapEPFL/Bookswap: delivered a series of foundational improvements to data modeling, image handling, and configuration, with a strong emphasis on data integrity, stability, and testability. The month blended core feature work with significant reliability improvements and documentation cleanliness, setting up the product for scalable growth and easier maintenance.
November 2024 monthly summary for BookswapEPFL/Bookswap: delivered a series of foundational improvements to data modeling, image handling, and configuration, with a strong emphasis on data integrity, stability, and testability. The month blended core feature work with significant reliability improvements and documentation cleanliness, setting up the product for scalable growth and easier maintenance.
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