Worked on the browser-use/browser-use repository, focusing on improving code quality and demo reliability rather than releasing new features. Addressed two targeted bugs by correcting variable naming inconsistencies in a language model example and refining code style in the blocked domains demo, which enhanced clarity and readability for future contributors. Emphasized Python best practices and code review processes to ensure maintainable and consistent code throughout the project. Leveraged skills in AI integration and code quality to streamline developer onboarding and reduce ambiguities in usage. The work contributed to a smoother development experience and more reliable demonstrations for the repository’s users.