In March 2025, Fang Gao developed a robust model output parsing feature for the browser-use/browser-use repository, focusing on enhancing reliability in automated model output handling. The solution introduced a fallback mechanism that extracts JSON data when the primary parser fails, reducing parsing errors and minimizing downstream issues. Implemented in Python, the work leveraged asynchronous programming and advanced error handling to ensure stability and maintainability. Although no major bugs were addressed during this period, the feature improved confidence in model outputs and streamlined quality assurance. The approach demonstrated thoughtful backend development and resulted in a clean, traceable commit history for future maintenance.