Worked on the ag2ai/ag2 repository to enhance the Reasoning Agent by focusing on maintainability and developer experience rather than user-facing features. Improved code quality through comprehensive documentation updates, including expanded docstrings, detailed argument descriptions, and explicit return types, all implemented in Python with type hinting. Addressed pre-commit and style hygiene issues to ensure consistent formatting and reliable tooling across the codebase. These efforts established a solid foundation for future development by reducing onboarding time and clarifying interfaces, enabling faster and safer iteration on reasoning features. The work emphasized code refactoring and documentation-driven maintainability for long-term scalability.