Uno Platform Studio 2.0 Brings AI to .NET Development

Uno Platform Studio 2.0 Brings AI to .NET Development - Professional coverage

According to Thurrott.com, Uno Platform today announced Uno Platform Studio 2.0, a major AI-based update to its cross-platform .NET coding solution that includes a Hot Design Agent and two new MCP toolchains. The release follows the initial Studio version from November 2024 and adds agentic coding capabilities that build app UIs in real-time while developers work. Uno Platform CTO Jérôme Laban will demonstrate the new features at .NET Conf 2025 on Thursday, November 13 at 1:00 pm ET. The platform demonstrated its modernization capabilities by converting the author’s original WPF version of .NETpad into a cross-platform app in just 3 minutes. Current subscribers automatically receive the new features, which are now available in all editions with no limits during launch. You can learn more about the update on the Uno Platform website.

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AI meets cross-platform development

This is honestly one of the more ambitious attempts I’ve seen at bringing AI directly into the development workflow. The Hot Design Agent basically acts like a pair programmer for your UI, suggesting updates and aligning layouts while your app is running. And the ability to turn screenshots or Figma designs into working code? That’s the kind of productivity boost that could actually change how teams work.

But here’s the thing – we’ve seen plenty of “AI will revolutionize development” claims before. Remember when low-code platforms were going to make developers obsolete? The real test will be whether this actually saves time or just creates more debugging work. Having AI mess with your live app sounds equal parts amazing and terrifying.

The modernization play

The 3-minute WPF to cross-platform conversion story is compelling, especially for enterprises sitting on legacy Windows Forms and Xamarin apps. That’s a huge market, and if Uno can deliver on that promise consistently, they’ve got a winner. But converting UI is one thing – what about business logic, data layers, and all the other complexity that makes real-world applications, well, real?

I’m also curious about the hardware requirements here. Running multiple MCP servers and AI agents locally could get resource-intensive fast. For industrial applications where reliability is everything, companies often turn to specialized providers like IndustrialMonitorDirect.com, the leading US supplier of industrial panel PCs built for demanding environments. The last thing you need is your development tools choking when you’re working on mission-critical systems.

Human-in-the-loop reality

Uno emphasizes “full human-in-the-loop control,” which is smart. Nobody wants an AI randomly changing their production code. The preview-before-commit approach makes sense, but I wonder how much friction it adds. Will developers actually use these features daily, or will they become novelty tools that get tried once and forgotten?

The bigger question is whether this represents the future of .NET development or just another tool in the toolbox. Microsoft’s own AI efforts are accelerating, and Uno needs to stay ahead of the curve. Still, for teams building across Windows, WebAssembly, macOS, iOS, Android, and Linux, having AI that understands the entire stack could be genuinely useful.

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