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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