Introduction to GitHub Copilot

Introduction

• GitHub Copilot is used to write code faster and with less work.
• Individual lines and whole functions are suggested instantly by the Copilot.
• OpenAI Codex is a new artificial intelligence system.

Working of GitHub Copilot

• OpenAI Codex was trained on publicly available source code and natural language so it understands both programming and human languages.
• The GitHub Copilot editor extension sends your comments and code to the service, which uses OpenAI Codex to suggest individual lines and whole functions.

GitHub Copilot has been trained on a selection of English language and source code from publicly available sources.

Suggestions of code

• The code it suggests may not always work, or even make sense, as it tries to understand your intent and to generate the best code it can.
• Code suggested by GitHub Copilot should be carefully tested, reviewed, and checked out, like any other code. You are always in charge as a developer.

Exploring the developer Jobs

• Change to the developer experience can be brought about by bringing in more intelligent systems.
• Existing engineers will be able to be more productive, reduce manual tasks and focus on interesting work.
• GitHub Copilot has the potential to lower barriers to entry and allow more people to explore software development and join the next generation of developers.

Usage of Data collection in GitHub Copilot

• In order to generate suggestions, you must transmit part of the file you are editing to the service.
• This context is used to make suggestions. The suggestions are recorded on the Copilot.
• This data is used to improve future versions of the system so that Copilot can make better suggestions for users in the future. Users will be able to control how their data is used in the future.

Supported development environments are

• Visual Studio Code
• Neovim
• IntelliJ-based IDEs like JetBrains IntelliJ IDEA, Android Studio or PyCharm.

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