
During two months contributing to mozilla/gecko-dev, Maciej Kozinski developed and modularized an in-app review prompt system for Fenix Android, focusing on user engagement and maintainability. He centralized app launch telemetry, refactored review prompt logic into dedicated controllers, and introduced a Redux-like state management pattern with middleware to control prompt visibility. Using Kotlin, Jetpack Compose, and Android MVVM architecture, Maciej built UI components and a bottom sheet dialog for custom prompts, ensuring robust eligibility logic and comprehensive unit testing. His work improved code modularity, testability, and governance of user feedback, establishing a solid foundation for future feature iteration and audits.

Month: 2025-07 | This month focused on delivering a robust in-app review prompt system for Fenix Android within mozilla/gecko-dev, establishing a maintainable foundation and targeting user engagement improvements. Key outcomes include the creation of foundation components (state, actions, middleware) for the prompt flow, plus comprehensive unit tests that cover eligibility logic (app launches, default browser status, last shown) and state updates. Major bug work targeted the Bug 1966873 family, adding AppStore state, actions, and middleware for showing the review prompt, with accompanying tests for the reducer and middleware to ensure safe, predictable behavior across launches and app states. Overall impact: provides a safer, more controllable prompt experience, increasing the likelihood of user reviews while reducing the risk of prompts at inappropriate times. The work enhances maintainability through modular state-management patterns and solid test coverage, enabling easier future changes and audits. Technologies/skills demonstrated: state/actions/middleware architectural pattern, Redux-like approach to mobile feature flows, comprehensive unit testing (coverage for eligibility logic and state updates), and Android integration considerations for cross-platform UX.
Month: 2025-07 | This month focused on delivering a robust in-app review prompt system for Fenix Android within mozilla/gecko-dev, establishing a maintainable foundation and targeting user engagement improvements. Key outcomes include the creation of foundation components (state, actions, middleware) for the prompt flow, plus comprehensive unit tests that cover eligibility logic (app launches, default browser status, last shown) and state updates. Major bug work targeted the Bug 1966873 family, adding AppStore state, actions, and middleware for showing the review prompt, with accompanying tests for the reducer and middleware to ensure safe, predictable behavior across launches and app states. Overall impact: provides a safer, more controllable prompt experience, increasing the likelihood of user reviews while reducing the risk of prompts at inappropriate times. The work enhances maintainability through modular state-management patterns and solid test coverage, enabling easier future changes and audits. Technologies/skills demonstrated: state/actions/middleware architectural pattern, Redux-like approach to mobile feature flows, comprehensive unit testing (coverage for eligibility logic and state updates), and Android integration considerations for cross-platform UX.
June 2025 performance summary for mozilla/gecko-dev. Delivered end-to-end enhancements across app launch telemetry, Play Store In-App Review flow, and custom review prompts. These efforts improve reliability of startup analytics, code modularity, and user engagement with review prompts, laying a foundation for faster iteration and better governance of user feedback. Technologies and practices demonstrated include Kotlin, Android MVVM architecture, modular controller design, and Jetpack Compose-based UI for prompts.
June 2025 performance summary for mozilla/gecko-dev. Delivered end-to-end enhancements across app launch telemetry, Play Store In-App Review flow, and custom review prompts. These efforts improve reliability of startup analytics, code modularity, and user engagement with review prompts, laying a foundation for faster iteration and better governance of user feedback. Technologies and practices demonstrated include Kotlin, Android MVVM architecture, modular controller design, and Jetpack Compose-based UI for prompts.
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