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 ...
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 ...
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 ...
TypeScript 6.0 RC represents the final major release built on the current JavaScript-based compiler. The upcoming TypeScript 7.0 will use a Go-based native implementation for enhanced speed and memory ...
Microsoft updates its reference WinUI 3 sample app with taskbar integration, clipboard samples, and quality-of-life fixes.
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 ...
Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step tutorial on an implementation of the technique that emphasizes simplicity and ease-of-modification over robustness and ...
Is the original "AI pair programmer" helping developers be more productive? Several reports seeking to measure the impact of GitHub Copilot -- including one from GitHub itself -- have weighed in on ...
The Data Science Lab Wasserstein Distance Using C# and Python Dr. James McCaffrey of Microsoft Research shows how to compute the Wasserstein distance and explains why it is often preferable to ...
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 ...