Course Outline
Introduction to Debugging with GitHub Copilot
- Overview of GitHub Copilot’s debugging functionalities
- Setup and configuration for debugging tasks
- Grasping AI-driven debugging support
Efficient Debugging using Copilot
- Recognizing common coding errors
- Leveraging Copilot for fix suggestions and optimizations
- Navigating real-time debugging scenarios and solutions
Improving Code Quality
- Applying best practices through Copilot’s recommendations
- Refactoring and enhancing existing codebases
- Maintaining consistency and long-term maintainability
Optimizing Code Review Processes
- Integrating Copilot into existing code review workflows
- Automating routine review tasks
- Conducting collaborative code reviews with AI support
Advanced Debugging Strategies
- Debugging asynchronous code structures
- Utilizing Copilot for performance tuning
- Managing complex error scenarios
Adapting Copilot for Team Usage
- Customizing Copilot’s suggestions for specific projects
- Establishing team-based settings
- Fine-tuning Copilot for collaborative workspaces
Advanced Features and Customization
- Tailoring Copilot to meet specific project requirements
- Optimizing Copilot for team environments
- Integrating Copilot with other review tools
Summary and Future Steps
Requirements
- Proficiency in coding and standard development workflows
- Knowledge of version control systems such as Git
- Foundational understanding of debugging practices and code review
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.
