Rydan enhanced reliability and readability across the Blaizzy/mlx-audio and langchain-ai/langchain repositories by focusing on documentation clarity and robust error handling. In Blaizzy/mlx-audio, Rydan standardized README examples for consistency and improved import dependency error feedback, reducing confusion during setup. For langchain-ai/langchain, Rydan strengthened the output parser by refining exception handling for unknown tool types, which improved diagnostics and runtime resilience. These contributions, implemented using Python and Markdown, emphasized backend development, technical writing, and unit testing. The work addressed onboarding friction and maintenance overhead, demonstrating thoughtful attention to both developer experience and the long-term stability of the codebase.