Content by dotnet's youtube channel (4)

In this article, author dotnet highlights Steve Sanderson's nuanced view on the use of chatbots in app development. Sanderson contends that while chatbot integration is popular, beginning with AI-powered automation of business processes is often a more effective approach. The article points readers to additional learning resources from Microsoft’s AI Learning Hub.

In this comprehensive workshop, Katie Savage and James Montemagno from the dotnet team introduce developers to the Model Context Protocol (MCP), a cutting-edge framework designed to standardize interactions between AI models and client applications. This beginner-friendly session guides participants through creating their first MCP server using C#, providing practical insights into this emerging technology that's shaping the future of AI development.

In this article, dotnet highlights Beth Massi's walkthrough on augmenting a web app with native mobile capabilities and AI integration. Using Blazor and .NET MAUI, along with Microsoft's Azure AI Foundry, Massi showcases how to bring AI and platform-specific enhancements to cross-platform applications. The article also features contributions from David Ortinau and provides links for deeper community engagement.

In this article, dotnet introduces an online session that delves into how the .NET ecosystem is amplifying its AI and Machine Learning capabilities. The session, featuring Bruno Capuano and Tanner Gooding, discusses enhancements like tensor support in .NET 9 and previews new features expected in .NET 10. This is an insightful resource for developers eager to leverage intelligent technologies within .NET applications.