Course Outline

Introduction to Advanced Features of GitHub Copilot

  • Recap of GitHub Copilot basics
  • Exploring Copilot’s capabilities for advanced development tasks
  • Understanding Copilot’s AI-generated code suggestions

Using GitHub Copilot in Advanced Coding Scenarios

  • Handling complex coding patterns and logic
  • Leveraging Copilot for multi-language projects
  • Generating boilerplate code for APIs and frameworks

Improving Code Efficiency and Maintainability

  • Refactoring code with Copilot’s suggestions
  • Using Copilot to optimize performance-critical code
  • Best practices for reviewing and editing Copilot-generated code

Integrating GitHub Copilot into Development Workflows

  • Configuring Copilot in various IDEs
  • Combining Copilot with Git workflows and CI/CD pipelines
  • Collaborating with teams while using Copilot

Debugging and Troubleshooting with GitHub Copilot

  • Using Copilot for error detection and debugging
  • Interpreting and modifying suggested fixes
  • Handling limitations and edge cases

Ethics and Best Practices in Using AI Coding Tools

  • Understanding the ethical considerations of AI-generated code
  • Ensuring compliance with licensing and intellectual property rights
  • Building trust and reliability in AI-assisted development

Summary and Next Steps

Requirements

  • Basic familiarity with version control systems, such as Git
  • Experience in writing code and using IDEs

Audience

  • Software developers
  • Software engineers
 14 Hours

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