
Worked on MegaMek/megamek to enhance game logic and backend reliability, focusing on infantry combat rules, movement validation, and code maintainability. Delivered features that enforce UMU infantry restrictions and robust leg-attack validation, using Java and object-oriented programming to implement null-safety patterns and helper-based checks. Refactored fleeing logic to separate state checks from path eligibility, improving safety for unit movement. Addressed bugs in mechanized infantry status and aerospace damage calculations, ensuring correct modifier handling. Maintained code quality through targeted cleanups and documentation updates. The work emphasized defensive programming, unit testing, and clear validation messaging to support maintainable, balanced gameplay.
During July 2026, MegaMek/megamek delivered focused movement and combat-system improvements alongside code quality enhancements. These changes strengthen game correctness, stability, and maintainability while delivering tangible business value for players and developers alike.
During July 2026, MegaMek/megamek delivered focused movement and combat-system improvements alongside code quality enhancements. These changes strengthen game correctness, stability, and maintainability while delivering tangible business value for players and developers alike.
June 2026: Focused on strengthening UMU infantry behavior and leg-attack validation in MegaMek/megamek to improve balance, reliability, and maintainability. Delivered two new features with targeted robustness improvements and addressed an unrelated regression to preserve test stability. The work emphasizes safer null-safety patterns, clearer validation messaging, and resilient hex-resolution logic to reduce future defects and enable faster iteration on balance tweaks.
June 2026: Focused on strengthening UMU infantry behavior and leg-attack validation in MegaMek/megamek to improve balance, reliability, and maintainability. Delivered two new features with targeted robustness improvements and addressed an unrelated regression to preserve test stability. The work emphasizes safer null-safety patterns, clearer validation messaging, and resilient hex-resolution logic to reduce future defects and enable faster iteration on balance tweaks.

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