Demo project for running labs to evaluate Copilot viability
The goal of a GitHub Copilot Hackathon is to learn how to use it, using a set of exercises (labs) that consist of building a web server using Nodejs with different functionalities, a .NET Web API or a Java Rest API (either Spring Boot or Quarkus).
We have also set two exercises for data engineers and data scientists based on python.
For those who are already familiar with GitHub Copilot, we have also defined a series of challenges to test your skills. In this case, you will find an introduction and short guidance to help you solve the challenge, but you will have to do most of the work on your own (with the help of Copilot, of course).
GitHub Copilot is an AI-powered code assistant that helps developers write better code faster. It uses machine learning models trained on billions of lines of code to suggest whole lines or entire functions based on the context of what you’re working on. By using Copilot, you can learn how to write better code and improve your productivity.
Remember:
- As you type GitHub Copilot will make suggestions, you can accept them by pressing Tab.
- If nothing shows up after Copilot write some lines, press enter and wait a couple of seconds.
- Press Ctrl + Enter, to see more suggestions.
- Use Copilot chat to support your learning and development.
- Press Ctrl + i to start Copilot chat inline within your code.
GitHub Copilot access
If you still do not have an active Copilot license, a 30 day trial can be requested here: https://github.com/github-copilot/signup.
Environment is already configured to work with Github Codespaces, you can find the configuration files in the .devcontainer folder.
To start programming just start a new codespace and you are ready to go, don't need to install anything.
VisualStudio Code
https://code.visualstudio.com/
Install Docker
https://docs.docker.com/engine/install/
For Nodejs
- Install Node and npm
- Install mocha:
Run:
npm install --global mocha
npm install axiosFor .NET
For Java
For Python
