GitHub Copilot Tutorial: AI Coding Workflows for .NET Developers & Software Teams
How can developers use GitHub Copilot to write better code, modernize legacy applications, and improve software quality?
In this practical webinar, Xebia demonstrates how GitHub Copilot can accelerate every stage of the software development lifecycle—from understanding unfamiliar codebases and planning new features to refactoring, testing, code reviews, and legacy modernization.
Using real-world .NET and modern web application examples, you'll learn how to combine Ask Mode, Plan Mode, and Agent Mode to improve developer productivity while maintaining quality, governance, and control.
What you'll learn:
✔ Understanding GitHub Copilot Ask, Plan, and Agent modes
✔ Exploring unfamiliar codebases with AI
✔ AI-assisted code generation and refactoring
✔ Modernizing legacy .NET applications
✔ Generating and improving unit tests
✔ Performing AI-powered code reviews
✔ Planning new application features with Copilot
✔ Prompt engineering techniques for better AI outputs
✔ Best practices for AI-assisted software development
✔ Using GitHub Copilot responsibly in enterprise development
Whether you're a software developer, architect, engineering manager, QA engineer, or DevOps professional, this session provides practical workflows for integrating AI into everyday software engineering.
Learn more about Xebia's AI Engineering capabilities: https://xebia.com
#GitHubCopilot #AICoding #SoftwareDevelopment #DeveloperProductivity #DotNet #VisualStudio #Microsoft #Xebia
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00:00 Introduction & Webinar Overview
01:40 Engine Analytics Demo Application
03:10 GitHub Copilot Modes: Ask, Plan & Agent
07:00 Why Context Matters
12:00 Understanding an Existing Codebase
22:20 Refactoring with GitHub Copilot
30:40 AI-Powered Code Reviews
34:10 Smarter Unit Testing
44:30 Legacy Application Modernization
50:30 Planning New Features with Copilot
54:00 Agent Mode in Action
56:20 Key Takeaways & Best Practices
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