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.NET Highlights from Microsoft Build 2026 Focus on AI Integration

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Key points

  • Union types are now included in C# for data modeling.
  • .NET 11 improves performance and productivity for AI applications.
  • AI functionalities are enhanced through .NET MAUI for edge computing.

Introduction to Microsoft Build 2026 and .NET 11

Microsoft Build 2026 highlighted various groundbreaking features in .NET 11, targeting the development of applications suited for the AI era. Key sessions showcased advancements in runtime, libraries, and tools for integrated AI functionalities.

Union Types in C#

Union types, one of the most anticipated features, will finally be available in C#. They facilitate the modeling of closed sets of data, improving code clarity and usability, particularly in wire protocols and domain modeling.

Performance Improvements for AI Applications

A deep dive into .NET 11 revealed enhancements across runtime, libraries, and the SDK that boost performance, diagnostics, and developer productivity. These improvements aim to support the creation of intelligent and cloud-connected applications.

AI Building Blocks for C#

The session on adding AI capabilities to C# applications offered practical coding examples combining model integration and agent patterns. This information is critical for developers looking to implement AI features in real-world applications.

Building for the Agentic Web

Sessions also addressed modern web app requirements, introducing features in ASP.NET Core and Blazor that improve speed and security, while enhancing support for agentic user experiences through new building blocks and integration with distributed app development.

AI on the Edge with .NET MAUI

Developers learned about applying AI directly to devices using .NET MAUI. This includes utilizing local models to improve user experience while discussing the implications for privacy and performance in mobile and desktop applications.

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Reporting from

.NET 11 showcased significant advancements including union types in C# and AI integration across applications. The sessions emphasized new features designed to enhance developer productivity and create intelligent applications in an AI-driven landscape.