Discover how GitHub Copilot operates today, including features like Mission Control, and learn strategies to maximize its potential for modern software development.
GitHub’s content strategist Aaron explores the latest capabilities of Copilot, offering insights for developers who want to stay ahead of emerging tools and workflows in AI-assisted coding. He admits a fondness for the em dash, even if it’s considered outdated by some.
If you’re curious about integrating Copilot with your command line setup, explore the GitHub Copilot CLI guide. It includes a beginner-friendly kit with effective prompt examples for multiple coding scenarios, helping you automate repetitive tasks and code generation faster.
Dive into GitHub’s automated pipeline that handles rapid, methodical evaluation of the GitHub MCP Server. This system ensures quality control and speed for continuous code improvement.
Learn how the GitHub MCP Registry can add structure and security to your AI workflows. Acting as the centralized hub for managing and regulating MCP servers, it ensures consistent governance and reliability across development environments.
“The GitHub MCP Registry is the single source of truth for managing and governing MCP servers.”
GitHub Copilot evolves to accelerate development through automation, smart evaluation, and structured governance across modern coding infrastructures.