Dongrixinyu worked on documentation-driven onboarding improvements for the volcengine/ai-app-lab repository, focusing on the Quant Trading and Stock Trading AI Assistant modules. Using Python and Markdown, Dongrixinyu enhanced Linux installation guides and cross-linked documentation across demohouse and module namespaces to streamline discoverability and reduce onboarding confusion. The work included updating README references, clarifying installation steps, and providing principled explanations of usage, ensuring consistency across platforms. By coordinating documentation updates and maintaining synchronization between quant_trading and stock-trading modules, Dongrixinyu addressed support overhead and improved the overall developer experience, demonstrating depth in configuration and AI integration skills.