Developer use cases for AI with GitHub Copilot
This module explores how GitHub Copilot streamlines developer productivity through AI-powered features, enhances the SDLC, aligns with developer preferences, and identifies key limitations while measuring productivity gains effectively.
Learning objectives
By the end of this module, you'll be able to:
- Identify specific ways GitHub Copilot integrates seamlessly into developer workflows, enhancing the overall development experience and supporting individual coding preferences.
- Explore GitHub Copilot's potential impact on different stages of the Software Development Lifecycle.
- Evaluate the limitations of AI-assisted coding and measure its impact on development efficiency
Prerequisites
- Basic understanding of software development concepts and practices.
- Familiarity with at least one programming language.
- A GitHub account and basic knowledge of GitHub functionalities.
- Access to GitHub Copilot (through individual, business, or enterprise subscription).