Taking your AI to the edge with .NET MAUI

Gerald Versluis explains how .NET MAUI developers can run AI at the edge using local, on-device models across mobile and desktop, and where cloud AI still fits. He also highlights .NET MAUI updates in .NET 10, what’s planned for .NET 11, and tooling/workflow improvements for building apps faster.

Overview

The video covers how to bring AI capabilities into .NET MAUI apps with an emphasis on on-device/local models (edge AI) and how that changes app design trade-offs.

Key themes include:

• Running AI locally on mobile and desktop to improve:
  • Privacy (data stays on device)
  • Performance/latency (no round-trips)
  • UX (more responsive experiences)
• Understanding when cloud AI still makes sense alongside on-device capabilities
• How AI-powered tools and agentic workflows (including DevFlow) can speed up app development

.NET MAUI foundations and app models

Gerald walks through:

• What .NET MAUI is (multi-platform app UI)
• .NET MAUI Blazor Hybrid
• The broader .NET MAUI ecosystem

What’s changed in .NET MAUI

The session highlights recent changes and activity around .NET MAUI, including:

• Reviewing pull requests (PRs)
• Community updates and partner highlights

.NET 10 investments for .NET MAUI

The video calls out investments landing in .NET 10, including:

• XAML-related work
• SafeArea improvements
• Android Material 3 support
• Service releases and support/release policy topics

What’s next in .NET 11

Gerald outlines what’s coming next for .NET MAUI in .NET 11 and discusses the release schedule.

Links

• Get started with .NET MAUI: https://aka.ms/maui
• Moti Me customer story: https://dotnet.microsoft.com/platform/customers/moti-me
• PRs: https://agentic-engineers.net
• MAUI Core CLR: https://aka.ms/maui-coreclr
• MAUI Sherpa: https://redth.github.io/MAUI.Sherpa
• MAUI releases / support policy: https://aka.ms/maui-support-policy
• MAUI Labs: https://github.com/dotnet/maui-labs