Course Outline
Introduction to GitHub Copilot for Debugging
- Overview of GitHub Copilot’s debugging features
- Installation and configuration for debugging
- Understanding AI-driven debugging assistance
Effective Debugging with Copilot
- Identifying common coding errors
- Using Copilot to suggest fixes and optimizations
- Real-time debugging scenarios and solutions
Enhancing Code Quality
- Implementing best practices with Copilot's suggestions
- Refactoring and improving existing code
- Ensuring consistency and maintainability
Streamlining Code Review Processes
- Integrating Copilot into code review workflows
- Automating repetitive review tasks
- Collaborative code review with AI assistance
Advanced Debugging Techniques
- Debugging asynchronous code
- Using Copilot for performance optimization
- Handling complex error scenarios
Customizing Copilot for Team Use
- Tailoring Copilot’s suggestions for specific projects
- Setting up team-based configurations
- Optimizing Copilot for collaborative environments
Advanced Features and Customization
- Customizing Copilot for specific project needs
- Optimizing Copilot for team environments
- Combining Copilot with other review tools
Summary and Next Steps
Requirements
- Experience with coding and development workflows
- Familiarity with version control systems like Git
- Basic understanding of debugging processes and code review
Audience
- QA engineers
- Developers
- Team leads
Testimonials (2)
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
Michal Maj - XL Catlin Services SE (AXA XL)
Course - GitHub Copilot for Developers
Trainer able to adjust the course level during training to fit our understanding level on the topic, so that we could gain more useful knowledge that could further help us harness the tools in our daily works.
