
Paul Tercier contributed to the SwEnt-Group8/Street-work-app by developing and refining core training and coaching features over two months. He migrated state management to Kotlin’s MutableStateFlow, enhancing app responsiveness and maintainability, and implemented MVVM architecture for both workout and coaching modules, integrating Firebase Firestore for real-time data handling. Paul introduced reusable UI components such as NumberPicker and improved Bluetooth GATT server functionality for device communication. His work included rigorous test automation using Mockito and Jetpack Compose Testing, as well as continuous code cleanup and formatting with ktfmt, resulting in a more stable, scalable, and testable Android application architecture.

December 2024 — Street-work-app monthly summary: This period delivered core UX improvements for training flows, reinforced data models, and expanded coaching capabilities, while stabilizing the test suite and CI processes to accelerate future releases. Key outcomes include a revamped TrainParamScreen with MVVM integration and parameter passing (time, sets, reps) across the training flow; the introduction of a reusable NumberPicker for Train screens; training hub UI refinements and timing logic enhancements (GraphData/CircularTimer/endTime); and a stronger coaching workflow with MVVM, Firestore-backed data, and PairingRequest handling. The team also advanced code quality and test coverage through ktfmt formatting, broader MVVM tests, coach/workout tests, and End-to-End testing improvements, alongside CI changes to reduce flaky builds.
December 2024 — Street-work-app monthly summary: This period delivered core UX improvements for training flows, reinforced data models, and expanded coaching capabilities, while stabilizing the test suite and CI processes to accelerate future releases. Key outcomes include a revamped TrainParamScreen with MVVM integration and parameter passing (time, sets, reps) across the training flow; the introduction of a reusable NumberPicker for Train screens; training hub UI refinements and timing logic enhancements (GraphData/CircularTimer/endTime); and a stronger coaching workflow with MVVM, Firestore-backed data, and PairingRequest handling. The team also advanced code quality and test coverage through ktfmt formatting, broader MVVM tests, coach/workout tests, and End-to-End testing improvements, alongside CI changes to reduce flaky builds.
November 2024 monthly summary for SwEnt-Group8/Street-work-app focusing on business value and technical achievements. Key improvements include migration to MutableStateFlow for core state management, Park rating enhancements, Bluetooth GATT and UI improvements, Workout MVVM architecture, and quality/guidance on formatting and tests. These changes enhance app responsiveness, data integrity, platform capabilities, and maintainability, enabling faster feature delivery and more reliable releases across the Street-work-app suite.
November 2024 monthly summary for SwEnt-Group8/Street-work-app focusing on business value and technical achievements. Key improvements include migration to MutableStateFlow for core state management, Park rating enhancements, Bluetooth GATT and UI improvements, Workout MVVM architecture, and quality/guidance on formatting and tests. These changes enhance app responsiveness, data integrity, platform capabilities, and maintainability, enabling faster feature delivery and more reliable releases across the Street-work-app suite.
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