microsoft/mastering-github-copilot-for-paired-programming

A multi-module course teaching everything you need to know about using GitHub Copilot as an AI Peer Programming resource.

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Summary Information

Updated 25 minutes ago
Added to GitGenius on September 8th, 2026
Created on November 29th, 2023
Open Issues & Pull Requests: 1 (+0)
GitHub issues: Enabled
Number of forks: 1,767
Total Stargazers: 8,117 (+1)
Total Subscribers: 84 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 10.1 days
Mean response time: 18.7 days
90th percentile: 10.1 days
Tracked items: 134

How this project is maintained

Around half of the issues opened in the past year never receive a reply. Only 12% of issues opened in the past year have been closed. Three people close 93% of everything that gets resolved.

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Detailed Description

Mastering GitHub Copilot for Paired Programming is a multi-module educational course that teaches developers how to use GitHub Copilot as an AI peer programming resource.

The course addresses the challenge of effectively integrating AI-assisted coding into development workflows. It teaches learners to collaborate with Copilot through natural-language prompts that initiate multi-step solutions, from initial planning and architecture suggestions through code generation, testing, and iteration. The curriculum covers Copilot's capabilities including real-time autonomous code execution, intelligent problem-solving, and workflow automation, with particular emphasis on Agent Mode, which transforms Copilot from a passive assistant into a proactive coding partner.

The course spans approximately ten hours across multiple modules and suits developers at any experience level who want to deepen their GitHub Copilot proficiency. Each lesson includes written material, practical challenges or assignments, and links to supplementary resources. Learners fork the repository into their own GitHub account to work through exercises at their own pace. The course requires an active GitHub Copilot subscription to complete the hands-on components. The material covers multiple programming languages including Python, JavaScript, C#, and SQL, making it relevant across different technology stacks.

The project maintains an open contribution model, explicitly inviting community members to report spelling and code errors through issues or pull requests, and to suggest new lessons and exercises. The repository structure emphasizes accessibility and self-directed learning, with clear navigation to individual lessons and supplementary learning paths provided through external Microsoft training resources.