Worked on the usestrix/strix repository to refactor agent state management, delivering a wake-on-state-change feature that replaced fixed interval polling. This update enabled the agent to respond immediately to state changes, improving responsiveness and reducing unnecessary CPU usage. The technical approach centered on asynchronous programming in Python, shifting from a resource-intensive polling loop to an event-driven model. This performance-focused change not only lowered system overhead but also established a scalable foundation for future state management enhancements. Collaboration and code review ensured maintainability and quality, with clear traceability to the relevant commit and issue for ongoing project transparency and accountability.