Browse GitHub Copilot Blogs (13)
Harald Binkle explores how to extend AI agents with Visuals MCP, letting tools like GitHub Copilot render interactive tables, lists, and images inside VS Code using React, TypeScript, and a flexible MCP server.
John Edward details how native Mermaid diagram support in Visual Studio 2026, enhanced by GitHub Copilot, empowers developers to visualize, generate, and maintain documentation seamlessly within their coding workflow.
Jesse Houwing shares his journey improving GitHub Actions versioning with the release of 'actions-semver-checker' v2, leveraging Copilot Agent and automated testing to streamline and automate release management.
Randy Pagels shares practical guidance for developers on building confidence in GitHub Copilot’s coding output by combining smart trust with targeted verification.
Harald Binkle provides a thorough comparison of GitHub Copilot’s extension mechanisms—Custom Agents, Skills, and MCP Tools—guiding developers on selecting the best option for AI-powered coding workflows.
Randy Pagels outlines actionable strategies for reviewing GitHub Copilot's code output with a senior developer's mindset, emphasizing intent, assumptions, and iterative improvement.
Randy Pagels discusses effective strategies for balancing human judgment and automation through GitHub Copilot, highlighting when to take the lead and when to delegate to maximize development workflow efficiency.
Hidde de Smet continues his AI-assisted development series by demonstrating the full Spec-Kit workflow—detailing how to move from requirements to production-ready code using .NET 9, Blazor, and GitHub Copilot. A must-read for software engineers adopting modern, spec-driven workflows.
Randy Pagels shares practical strategies for treating GitHub Copilot as a true coding teammate in 2026, highlighting collaboration, feedback, and thoughtful interaction as ways to unlock Copilot's full potential.
Rob Bos demonstrates hands-on techniques for using the GitHub Copilot Coding Agent to automate real development tasks, highlighting workflow automation, practical prompts, and DevOps best practices.
Randy Pagels recaps four practical prompt patterns for GitHub Copilot—Persona, Reflection, Refusal Breaker, and Cognitive Verifier—offering actionable techniques to help developers steer Copilot towards more relevant, clear, and effective results.
Tim Anderson reports on the latest VS Code update, highlighting Agent HQ for agentic AI integration, TypeScript 7 support, and the move from IntelliCode to GitHub Copilot for AI-driven code completion.
DevClass.com examines the latest Visual Studio Code release, reported by Tim Anderson, featuring Agent HQ for AI agents, a TypeScript 7 preview, and the deprecation of IntelliCode in favor of GitHub Copilot for code completions.
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