Introduction
Last updated
Last updated
Welcome to the GitHub Copilot Patterns & Exercises documentation! This community-driven opensource guide is dedicated to providing best practices for GitHub Copilot. Our aim is to make it straightforward for you to understand, evaluate, and integrate these practices into your projects.
This document is brought to you by GitHub's Customer Success Architect @yuhattor to help developers better use GitHub Copilot and other AI-Powered tools. It's not an official documentation of GitHub, but rather a community document that reflects the opinions of individuals and communities. Please contribute and let your views be reflected in the book.
Some of these patterns have been tried and proven effective in individual environments, but others are idea-based and have not yet been tested for effectiveness in actual team environments. Please feel free to leave comments on GitHub Issues. We look forward to various discussions and the sharing of knowledge about AI Powered development.
This documentation is not yet in its final version, and there may be broken links, typos, and other errors. Your help in improving it is much appreciated. Please see how you can contribute to this document.
We believe in the power of community. If you find this project useful, please consider giving our GitHub repository a star. Your contributions, no matter how small, can make a big difference! Whether it's improving the documentation, adding new patterns, or just fixing a typo - every bit helps.
To get started with contributing, check out our contribution guidelines CONTRIBUTING.md or open an issue or pull request. Let's work together to pave the way for GitHub Copilot Patterns & Exercises!
We hope this guide will serve as a starting point for you to enter the world of GitHub Copilot Patterns & Exercises.
Patterns are a way of describing repeatable solutions to problems within a specific context. In GitHub Copilot Patterns & Exercises, patterns provide ideas for how developers and teams can use AI to achieve rapid product development.
Patterns: These are tried and true solutions to common problems and scenarios you might encounter when developing with GitHub Copilot. Each pattern is categorized by its level of maturity.
Exercises: Practical hands-on tasks that can help reinforce your understanding and application of the patterns.
Patterns that are still in development or have not been fully evaluated. Many have been discussed in the community and their usefulness established, but each is at a different level of maturity. See GitHub Projects for the status of each.
This document is lead authored by Yuki Hattori, a Customer Success Architect at GitHub. Throughout its evolution, various community members have reviewed and enriched its content. Dive deep into our contributors' graph to see the passionate individuals who have shaped this project. Please join us. Let's explore the wild GitHub Copilot Patterns together.
This document is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Thank you for being a part of this journey. Together, we can shape the future of AI Powered Development!
