February 2026 monthly summary focused on delivering a robust Nissan cruise control button parsing and event handling feature in sunnypilot/opendbc, with improvements to button state management and maintainability. The work enhances reliability of cruise control interactions and sets a clear foundation for future button surface extensions. Key achievements: - Implemented Nissan cruise control button parsing and event handling, emphasizing the gap adjustment button, and removed cancel and resumeCruise button handling from the BUTTONS list. This included restoring gapAdjustCruise button event handling in Nissan CarState. - Introduced CarStateExt to organize button states and events, enabling cleaner state transitions and easier extension for new controls. - Applied code review feedback and collaborated with teammates (Co-authored-by: Jason Wen) to improve code quality and maintainability. - Improved runtime stability and maintainability of cruise control button handling, reducing parsing ambiguity and paving the way for future enhancements. Overall impact and accomplishments: - Business value: Increased reliability of Nissan cruise control button parsing, reducing user input interpretation errors and supporting richer vehicle interactions. - Technical impact: Clearer state management for button events, better separation between CarState and derived button events (CarStateExt), and a more maintainable codebase suitable for upcoming features. - Team and collaboration: Demonstrated effective collaboration and code review discipline, contributing to higher-quality deliverables within the month. Technologies/skills demonstrated: - Python-based parsing and event-driven state management - Refactoring and state organization with CarState/CarStateExt patterns - Version control discipline and collaborative coding (co-authorship)

December 2025 monthly performance summary focused on delivering high-impact features and stabilizing firmware across multiple repositories. Key outcomes include user-facing HUD improvements for Nissan LKAS in opendbc and a critical memory-management fix in Panda firmware. These efforts enhance driver feedback, system reliability, and maintainability across the codebase.