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Course Outline

Overview of GitHub Copilot's Advanced Capabilities

  • Reviewing the core principles of GitHub Copilot.
  • Investigating Copilot’s potential for high-level development tasks.
  • Decoding the logic behind Copilot’s AI-generated code suggestions.

Applying GitHub Copilot in Complex Coding Situations

  • Managing intricate coding patterns and logical structures.
  • Utilizing Copilot to support multi-language project architectures.
  • Automating the creation of boilerplate code for APIs and frameworks.

Enhancing Code Performance and Longevity

  • Refactoring existing code using Copilot’s analytical suggestions.
  • Optimizing performance-critical sections of code with Copilot assistance.
  • Adopting best practices for reviewing and refining AI-generated code.

Embedding GitHub Copilot into Development Processes

  • Setting up Copilot across various IDEs.
  • Synergizing Copilot with Git workflows and CI/CD pipelines.
  • Fostering team collaboration when using Copilot.

Leveraging GitHub Copilot for Debugging and Diagnostics

  • Employing Copilot to identify errors and assist in debugging.
  • Analyzing and adjusting suggested fixes for accuracy.
  • Navigating tool limitations and handling edge cases.

Ethics and Best Practices for AI Coding Tools

  • Considering the ethical responsibilities surrounding AI-generated code.
  • Ensuring adherence to licensing standards and intellectual property rights.
  • Establishing trust and reliability in AI-assisted development practices.

Conclusion and Future Directions

Requirements

  • A foundational understanding of version control systems, particularly Git.
  • Practical experience in coding and navigating Integrated Development Environments (IDEs).

Target Audience

  • Software Developers.
  • Software Engineers.
 14 Hours

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