Eneros developed and integrated a comprehensive LangChain with AI Foundry Local tutorial into the MicrosoftDocs/azure-ai-docs repository, focusing on enhancing onboarding and developer productivity. By leveraging Markdown and technical writing skills, Eneros updated the navigation and table of contents to ensure the new tutorial was fully accessible and consistent with the existing documentation structure. The work included restoring previously removed content through careful file path adjustments, aligning the documentation with local development workflows. This contribution provided a reusable, navigable example for AI Foundry LangChain, improving the overall coherence and usability of the documentation for both new and existing developers.