This course serves as an introduction to GitHub Copilot, an AI-powered code completion tool developed by GitHub in collaboration with OpenAI. GitHub Copilot uses machine learning models to assist developers in writing code by providing suggestions and completing repetitive tasks. This course will cover the basics of using GitHub Copilot effectively, understanding its capabilities, and integrating it into your daily devops environment

The objectives of the seminar:

• Understand the fundamentals of GitHub Copilot and its underlying technology.
• Learn how to effectively use GitHub Copilot to generate code suggestions and
• Explore best practices for integrating GitHub Copilot into your devops workflow.
• Develop proficiency in leveraging GitHub Copilot to enhance productivity and code quality.

• Basic understanding of programming concepts and syntax in at least one programming language in python and/or another language.
• Familiarity with using Git and GitHub for version control is recommended.

Introduction to GitHub Copilot

• Overview of GitHub Copilot and its features
• Installing and setting up GitHub Copilot in your preferred development environment

Getting Started with GitHub Copilot

• Using GitHub Copilot for code suggestions and completions
• Understanding how GitHub Copilot generates code based on context and user input.

Integrating GitHub Copilot into Your Workflow

• Incorporating GitHub Copilot into code editing and development tasks
• Leveraging GitHub Copilot for writing tests, documentation, and other repetitive tasks

Best Practices and Considerations:

• Best practices for using GitHub Copilot effectively while maintaining code quality.
• Addressing common challenges and limitations when using GitHub Copilot
• Ethical considerations and responsible use of AI-powered tools in software development