Jonathan Feng enhanced the onboarding experience for the ContextualAI/examples repository by refactoring the “Getting Started and Hands-on Lab Experience” flow. He removed outdated files, updated documentation, and streamlined example notebooks and data to reduce friction for new users. Using Python, Markdown, and JSON, Jonathan focused on code refactoring and example generation to create a more direct and efficient first-run process. His targeted cleanup of evaluation components improved repository hygiene and maintainability. The work addressed the need for faster user activation by aligning resources and documentation, demonstrating a thoughtful approach to onboarding optimization within a short, focused development period.