Contributed to cpinitiative/usaco-guide by developing a dynamic programming tutorial feature that provides both Java and Python implementations for a selected problem. This work focused on expanding the educational content’s accessibility, allowing learners to study algorithmic solutions in multiple languages. The approach emphasized robust algorithm design and dynamic programming techniques, ensuring consistency across language examples and supporting future scalability. Code was committed with clear traceability, facilitating maintainability and quick updates. No major bugs were reported during this period, and quality assurance centered on tutorial accuracy. The contribution established a foundation for ongoing multi-language support and streamlined content updates within the repository.