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Course Outline
Introduction to GitHub Copilot
- Insights into AI-assisted pair programming
- Key features and inherent constraints of GitHub Copilot
- The Copilot ecosystem: covering IDEs, CLI, PRs, and Chat
Initial Setup
- Installing and setting up GitHub Copilot in VS Code, JetBrains, and Neovim
- Handling GitHub authentication and subscription management
- Navigating Copilot configuration and user preferences
Maximizing GitHub Copilot Usage
- Creating code completions, functions, and standard templates
- Utilizing multi-line and context-aware suggestions
- Adjusting and perfecting Copilot’s outputs
- Drafting comments and technical documentation with Copilot
Copilot Chat and Collaborative Tools
- Leveraging Copilot Chat for API discovery and code refactoring
- Employing Copilot Chat for debugging and error resolution
- Enhancing Pull Requests with Copilot suggestions and review aids
Advanced Copilot Workflows
- Embedding Copilot into command-line interface workflows
- Applying Copilot in test-driven development processes
- Integrating Copilot with various frameworks and libraries
Ethical and Secure Practices
- Navigating licensing, privacy, and intellectual property issues
- Addressing potential risks of unsafe or biased code generation
- Strategies for secure enterprise and team-wide adoption
Best Practices and Real-World Applications
- Boosting daily development efficiency with Copilot
- Cross-language examples of effective Copilot usage
- Key takeaways and success stories from experienced teams
Conclusion and Future Steps
Requirements
- Foundational programming skills in at least one language (such as Python, JavaScript, Java, or C#)
- Proficiency with an IDE or code editor (e.g., VS Code or JetBrains tools)
- Familiarity with Git and GitHub processes is advantageous
Target Audience
- Software Developers
- Programmers
- Software Engineers
14 Hours
Testimonials (1)
That i gained a knowledge regarding streamlit library from python and for sure i'll try to use it to improve applications in my team which are made in R shiny