
Worked on the DayKev/pokerogue repository to implement hazard layer handling for the Court Change move, enhancing gameplay accuracy in scenarios with multiple entry hazards. Developed a layer-aware execution mechanism that checks and applies all relevant hazard layers during move resolution, addressing a previous regression where hazard layers were not properly transferred. Applied test-driven development practices by expanding unit tests to cover various hazard layer counts, ensuring reliable behavior across edge cases. Utilized TypeScript for both core logic and testing, focusing on move-effect modeling and targeted refactoring. This work improved battlefield consistency and established a foundation for future hazard-layer integrations.
April 2026: Implemented Court Change Move Hazard Layer Handling in DayKev/pokerogue. Added layer-aware execution to the Court Change move to check and apply all entry hazard layers during gameplay; updated tests to validate behavior across varying layer counts. Fixed a regression where Court Change did not apply hazard layers, improving move fidelity and battlefield consistency. This work increases gameplay reliability in layered battlefield states and establishes groundwork for broader hazard-layer integration across moves. Technologies/skills demonstrated include hazard-layer state management, move-effect modeling, test-driven development, and targeted refactoring.
April 2026: Implemented Court Change Move Hazard Layer Handling in DayKev/pokerogue. Added layer-aware execution to the Court Change move to check and apply all entry hazard layers during gameplay; updated tests to validate behavior across varying layer counts. Fixed a regression where Court Change did not apply hazard layers, improving move fidelity and battlefield consistency. This work increases gameplay reliability in layered battlefield states and establishes groundwork for broader hazard-layer integration across moves. Technologies/skills demonstrated include hazard-layer state management, move-effect modeling, test-driven development, and targeted refactoring.

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