In a social media feedback thread started by Microsoft Visual Studio guru Mads Kristensen, multiple developers unloaded on ...

Markdown is emerging in VS Code and Visual Studio 2026 as a version-controlled instruction layer that governs AI agents, reusable prompts and modular skills alongside traditional documentation.

This head-to-head test compared Amazon Q Developer and GitHub Copilot Pro using a real-world editorial workflow to evaluate their performance as 'agentic' assistants beyond simple coding. Both tools ...

Serverless is an architectural style that succeeds only when paired with intentional design patterns. Event-driven approaches often provide simpler, more resilient solutions than overused ...

Copilot Pro includes a monthly allowance of premium requests, and premium-model usage can consume that allowance faster than expected (especially with agentic, multi-step workflows). When premium ...

Dr. James McCaffrey presents a complete end-to-end demonstration of decision tree regression from scratch using the C# language. The goal of decision tree regression is to predict a single numeric ...

Microsoft MVP Philip Japikse discusses how ASP.NET Core Razor Pages in .NET 10 provides a streamlined, page-centric ...

Microsoft's .NET 11 Preview 1 introduces runtime and SDK enhancements while facing community scrutiny over C# syntax complexity and a strategic shift toward AI-driven development.

This dynamic test added server-side logic, persistence across restarts, session-based admin auth, and a post-build refactor, going beyond static page generation. Both environments required repeated ...

VS Code forks are diverging rapidly, not just in features, but in how they structure AI-assisted development workflows. Cursor emphasizes speed and visual polish, Windsurf leans toward dynamic ...

Microsoft has officially begun decommissioning its IntelliCode suite, marking the end of a multi-year effort to provide local, machine-learning-assisted code completions. The move, executed alongside ...

The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...