Course Outline
Introduction to GitHub Copilot for Debugging
- Overview of GitHub Copilot’s debugging features.
- Installation and setup for debugging tasks.
- Understanding AI-driven debugging support.
Mastering Debugging with Copilot
- Identifying common coding errors.
- Using Copilot to propose fixes and optimizations.
- Exploring real-time debugging scenarios and solutions.
Improving Code Quality
- Applying best practices based on Copilot’s suggestions.
- Refactoring and enhancing existing code.
- Maintaining consistency and code maintainability.
Optimizing Code Review Workflows
- Integrating Copilot into code review workflows.
- Automating routine review tasks.
- Engaging in collaborative code review with AI assistance.
Advanced Debugging Strategies
- Debugging asynchronous code.
- Leveraging Copilot for performance optimization.
- Managing complex error scenarios.
Tailoring Copilot for Team Usage
- Customizing Copilot’s recommendations for specific projects.
- Establishing team-based configurations.
- Optimizing Copilot for collaborative workspaces.
Advanced Features and Configuration
- Adapting Copilot to meet specific project requirements.
- Optimizing Copilot for team environments.
- Combining Copilot with other review tools.
Summary and Future Steps
Requirements
- Prior experience with coding and software development workflows.
- Knowledge of version control systems such as Git.
- Foundational understanding of debugging methods and code review practices.
Target Audience
- QA engineers.
- Software 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.
