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This module explores the responsible use of AI in the context of GitHub Copilot, a generative AI tool for developers. It will equip you with the knowledge and skills to leverage Copilot effectively while mitigating potential ethical and operational risks associated with AI usage.
GitHub Copilot is an AI pair programmer that offers autocomplete-style suggestions as you code.
This module highlights the basic core principles of prompt engineering and explains the best practices to create prompts quickly and effectively in GitHub Copilot. Learn the strategies that transform comments into precise code, identify the steps within GitHub Copilot's prompt processing flow, and gain an understanding of the important role that Large Language Models (LLMs) play in enhancing suggestion quality.
Use advanced features of GitHub Copilot with Visual Studio Code to make changes and updates to a Python application.
GitHub Copilot Across Environments: IDE, Chat, GitHub.com, and Command Line Techniques explore the versatile integration of GitHub's AI-powered coding assistance. It covers effective use of Copilot's auto-suggestions and multiple panes in IDEs, using natural language interactions in Copilot Chat, and streamlining command-line workflows. The guide delves into optimizing prompts, understanding context-aware code generation, and customizing Copilot's behavior across different coding environments.
Management and customization control are a vital part of using an AI pair programming tool. With a better understanding of the GitHub Copilot plans and their associated features, you can select the right fit for your organization's needs.
Developer Uses Cases for AI with GitHub Copilot explores ways developers can apply AI using GitHub Copilot to enhance productivity, ultimately enabling teams to save time, improve code quality, and boost developer satisfaction.
This module explores using GitHub Copilot and GitHub Copilot Chat to create unit tests. Exercises provide practical experience creating unit test projects and running unit tests in Visual Studio Code.
GitHub Copilot Business builds the power of generative AI into an editor extension that suggests code in real-time. By using context to provide and synthesize code to match, it allows developers to convert comments to code, autofill repetitive code, and show alternatives.
GitHub Copilot Enterprise is designed as an intelligent companion for developers, making the vast repository of your organization's institutional knowledge readily accessible. This cutting-edge tool empowers your team to query both public and private codebases directly, facilitating a smoother onboarding process for new codebases, fostering consistency across engineering teams, and ensuring universal access to established standards and previously completed work.
Develop updates in a JavaScript application using GitHub Copilot with Visual Studio Code.
Make changes and updates to a Python application by using GitHub Copilot with Visual Studio Code.
This course explores the use of AI in the context of GitHub Copilot, a generative AI tool for developers. It equips users with the knowledge and skills to use Copilot effectively while mitigating potential ethical and operational risks associated with AI usage.