Course Outline
Introduction to GitHub Copilot for Debugging
- Overview of GitHub Copilot’s debugging capabilities.
- Installation and setup for debugging purposes.
- Understanding AI-assisted debugging support.
Mastering Debugging with Copilot
- Recognizing common coding errors.
- Utilizing Copilot to suggest fixes and optimizations.
- Real-time debugging scenarios and solutions.
Improving Code Quality
- Applying best practices via Copilot’s suggestions.
- Refactoring and enhancing existing code.
- Ensuring consistency and maintainability.
Optimizing Code Review Processes
- Integrating Copilot into code review workflows.
- Automating repetitive review tasks.
- Conducting collaborative code reviews with AI assistance.
Advanced Debugging Techniques
- Debugging asynchronous code.
- Using Copilot for performance optimization.
- Addressing complex error scenarios.
Tailoring Copilot for Team Use
- Customizing Copilot’s suggestions for specific projects.
- Establishing team-based configurations.
- Optimizing Copilot for collaborative environments.
Advanced Features and Customization
- Adapting Copilot to meet specific project requirements.
- Optimizing Copilot for team workflows.
- Combining Copilot with other review tools.
Summary and Next Steps
Requirements
- Prior experience with coding and development workflows.
- Knowledge of version control systems, such as Git.
- Fundamental understanding of debugging methodologies and code review practices.
Target Audience
- QA engineers.
- Software developers.
- Team leads.
Testimonials (3)
The session was highly interactive and applicable to the business.
Jorge Boscan - Chevron Global Technology Services Company
Course - Advanced GitHub Copilot & AI for Projects and Infrastructure
Machine Translated
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.
