Developer use cases for AI with GitHub Copilot
Intermediate
Developer
DevOps Engineer
Student
GitHub
This module explores how GitHub Copilot streamlines developer productivity through AI-powered features. It enhances the Software Development Life Cycle (SDLC), aligns with developer preferences, and identifies key limitations. Additionally, it measures productivity gains effectively.
Learning objectives
By the end of this module, you're 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 requires either a personal GitHub account or an account managed by an organization or enterprise. For learning purposes, the Copilot Free option with usage limits should be sufficient.