This hands-on PoC shows how I got an open-source model running locally in Visual Studio Code, where the setup worked, where it broke down, and what to watch out for if you want to apply a local model ...

Microsoft's new Azure Skills Plugin bundles curated Azure skills, the Azure MCP Server, and the Foundry MCP Server into a single install that gives AI coding agents both the expertise and execution ...

Microsoft is expanding GitHub Copilot's deepest Visual Studio integration to C++, giving the AI assistant compiler-backed insight into entire C++ codebases so it can refactor and modify projects ...

Quadratic regression is a classical machine learning technique to predict a single numeric value. Quadratic regression is an extension of basic linear regression. Quadratic regression can deal with ...

Understand the key advantages of Razor Pages in ASP.NET Core for building real-world web applications Learn how features like dependency injection, configuration, and environment awareness improve ...

Microsoft's AI Toolkit extension for VS Code now lets developers scaffold a working MCP server in minutes. Here's what that looks like in practice -- including the parts that don't work, and a simpler ...

VS Code 1.111 Autopilot is not just a no-prompts mode. In testing, it handled a blocking question that still stopped Bypass.

Microsoft's February 2026 Foundry update includes broader platform changes, but the most immediate developer-facing news for VS Code users is an AI Toolkit refresh centered on tool discovery, agent ...

Sometimes you need a string that's filled with a specific number of characters. There are lots of ways to do that but the easiest is to use the New keyword with the String class because the New ...

When using the PyTorch neural network library to create a machine learning prediction model, you must prepare the training data and write code to serve up the data in batches. In situations where the ...

A good way to see where this article is headed is to take a look at the screen shot of a demo program shown in Figure 1. The demo sets up a dummy dataset of six items: [ 5.1 3.5 1.4 0.2] [ 5.4 3.9 1.7 ...