Jack Oh reorganized the AI-Hypercomputer/tpu-recipes repository by archiving outdated PyTorch/XLA training recipes and updating documentation to direct users toward actively maintained MaxText-based alternatives. He applied skills in code organization and repository management, using Markdown and Shell to restructure directories and clarify the recommended workflows. By moving legacy content into a dedicated archive and revising READMEs, Jack reduced confusion for contributors and established a clearer onboarding path. This work improved maintainability and set the stage for future refactors, demonstrating a methodical approach to repository hygiene and user guidance within a complex, evolving codebase over the course of one month.