AI Pair Programming with GitHub Copilot X
1h 24mAdvanced2023-09-19
Authors
Ronnie Sheer
Software Developer and Instructor
Course details
The future of programming is all about collaboration—humans working with machines to achieve exciting and unimagined results. AI pair programming, which integrates human- and machine-generated code, is a prime example of a tool that alleviates tedious, menial tasks to let developers focus their attention on higher-level concerns. In this course, instructor Ronnie Sheer shows you how to get the most out of GitHub Copilot X, one of the most useful and impactful new tools for streamlining software development with AI based on the most recent version of ChatGPT-4.
Get a comprehensive introduction on how to use Copilot to integrate your coding with the latest AI technology. Ronnie goes over the major features of the application, focusing specifically on Pythonista and JavaScript, and using back-end and front-end Copilot tools. By the end of this course, you’ll be prepared to create data models, implement REST APIs, and write tests, client-side code and templates, HTML, CSS, and more.
Get a comprehensive introduction on how to use Copilot to integrate your coding with the latest AI technology. Ronnie goes over the major features of the application, focusing specifically on Pythonista and JavaScript, and using back-end and front-end Copilot tools. By the end of this course, you’ll be prepared to create data models, implement REST APIs, and write tests, client-side code and templates, HTML, CSS, and more.
Skills covered
Github CopilotGitAgile Software DevelopmentGitHubArtificial Intelligence FoundationsDevOpsArtificial Intelligence (AI)Open SourceDeep Dive (X:Y)
Concepts
0. Introduction
- 01 - GitHub Copilot X and the GenAI revolution
1. Getting Familiar with Copilot
- 02 - What is Copilot X
- 03 - Warning - Use responsibly
- 04 - Test flight
- 05 - Code completions
- 06 - Productivity tips and tricks for code completions
2. Building a Project with Copilot
- 07 - What we will build
- 08 - Security considerations
3. Back-End Code with CoPythonista
- 09 - What Copilot Chat means for project boilerplate
- 10 - Brainstorming with Copilot X conversational interface
- 11 - Creating a data model with Copilot with Code Completion
- 12 - Implementing a REST API with Copilot
- 13 - Test strategy and implementation with Chat Interface
4. Front-End Fun with Copilot
- 14 - Where Copilot X differs in front-end work
- 15 - Consuming our API with client-side code
- 16 - Presentation logic and HTML
- 17 - Styles
Conclusion
- 18 - Advance your AI skills with LinkedIn Learning