mastering-github-copilot-for-dotnet-csharp-developers and GHCP-Lab

These are complements: the comprehensive C#/.NET curriculum provides structured mastery of GitHub Copilot's advanced features, while the self-serve lab offers hands-on experimentation and practical validation of those concepts across broader use cases.

Maintenance 6/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 10/25
Adoption 7/25
Maturity 16/25
Community 18/25
Stars: 351
Forks: 168
Downloads:
Commits (30d): 0
Language: C#
License: MIT
Stars: 36
Forks: 14
Downloads:
Commits (30d): 0
Language: C#
License: MIT
No Package No Dependents
No Package No Dependents

About mastering-github-copilot-for-dotnet-csharp-developers

microsoft/mastering-github-copilot-for-dotnet-csharp-developers

Master GitHub Copilot for C#/.NET development via this curriculum! Learn AI-driven paired programming, optimize your workflow, and write cleaner, faster code.

This curriculum helps C#/.NET developers streamline their coding workflow by integrating AI-powered assistance. You'll learn to use GitHub Copilot for intelligent code autocompletion, automated testing, and improved team collaboration within Visual Studio Code. The output is cleaner, faster, and smarter C#/.NET code, and a more efficient development process for software engineers and developers.

C# development .NET programming AI paired programming software development developer tools

About GHCP-Lab

microsoft/GHCP-Lab

A self-serve lab to get better understanding of how to use Github Copilot (GHCP) to bring more value for you and your organization

This lab helps developers understand and effectively use GitHub Copilot to write higher quality code faster. It takes you through interactive assignments using the CodeTour extension in VS Code, where you learn the differences between Copilot's various modes and features. The output is a developer more proficient in leveraging AI for coding, capable of building applications more efficiently.

software-development developer-tooling AI-assisted-coding code-generation programming-productivity

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