Microsoft Product Manager Mike Kistler previews his Visual Studio Live! session on how MCP servers give .NET developers a universal standard for connecting AI models to external data and tools -- and ...

Today's applications require monitoring, logging, configuration, etc. Each of these concerns can be implemented as a ...

C# developers now have a range of tools to integrate machine learning, from ML.NET and TensorFlow.NET to Microsoft.Extensions.AI for unified API access. In parallel, step-by-step setups for running ...

Microsoft shipped ML.NET 3.0, enhancing deep learning and data processing scenarios in the company's machine language framework that lets devs create AI-infused apps completely within the .NET ...

Microsoft claims to have achieved a "leap forward" in performance for WinUI 3, the current native framework for Windows apps, ...

AI trading bots are no longer used only by professional quant teams. In 2026, traders are using automated tools to monitor ...

Microsoft’s Azure-based AI development and deployment platform shines with a strong selection of models and agent types and ...

Solving the Complexity of Enterprise Scheduling with Visual Enterprise Multi-Resource Allocation and Scheduling ...

Microsoft released an emergency patch for its ASP.NET Core to fix a high-severity vulnerability that allows unauthenticated attackers to gain SYSTEM privileges on devices that use the Web development ...

Digital workplaces today function as interconnected systems that require document editing and collaboration tools to work together. These two elements create the ...

Microsoft admits nobody expected Win32 to remain a core part of Windows in 2026 as the company pivots back toward native apps ...