GitHub Copilot is an AI coding assistant that suggests code as you type, answers questions about your project and helps with tests, documentation and debugging. It works inside common editors such as Visual Studio Code and JetBrains tools, and it is built around GitHub’s platform. Developers who write code daily often find it saves time on repetitive work, while newcomers use it to see how common patterns are written.
This guide covers what the individual plans are for, how Copilot fits into a real development workflow and how ordering works through our store. GitHub changes tiers, model choices and usage limits regularly, so confirm the current details on GitHub’s site. The GitHub Copilot amount at checkout is the total for the tier selected.
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Last updated: October 18, 2026
What Copilot does inside your editor
The core feature is inline suggestion: as you write, Copilot proposes the next line or block, and you accept, edit or ignore it. A chat interface lets you ask about a function, request a refactor or explain an error message. Newer plans add more advanced agent-style features that can make multi-file changes, but the level of access depends on the tier you buy.
Copilot works best when the code around it is clear. Good names, small functions and comments that state intent give the assistant better context, which leads to better suggestions.
Individual tiers and who needs them
GitHub offers free access with limits for some users, and paid individual tiers with higher allowances and more features. A student, a hobbyist and a professional developer will have different needs. Start with the free option if it is available to you, then move to a paid tier when you notice the limits interrupting your work every day.
Check whether your school or employer already provides Copilot access. Many do, and that is the cheapest way to get it.
Using Copilot without losing your skills
Copilot is most useful when you already understand the code it suggests. Read every suggestion before you accept it, check that it handles edge cases and run the tests. Use it for boilerplate, repetitive patterns and first drafts of unfamiliar APIs, but keep writing the core logic yourself while you are learning. Developers who accept suggestions without reading them tend to ship subtle bugs.
Code privacy and what to check
Read the privacy and data settings for the tier you buy, especially if you work on private or client code. Settings control whether your code is used to improve the service, and they can differ by plan. If your employer has rules about AI tools and source code, follow them before enabling the assistant on work projects.
Copilot against other coding assistants
Other assistants such as Claude and ChatGPT can explain code and write larger pieces in a chat window, while Copilot is built into the editor and suggests code in context. Many developers use both: the editor assistant for completions and the chat tool for longer explanations or design discussions. Try each on a real task before committing to a single subscription.
Ordering through our store
Copilot attaches to a GitHub account, so use the one that holds your repositories. Read both before paying. Copilot is attached to a GitHub account, so use the account you will keep for your repositories. The subscription governs the account, not a specific machine, so the same account can be used in your editor on each computer you own.
Your GitHub Copilot order is recorded in the customer panel with its order number. If Copilot does not activate in your editor as described, contact support with your order number and a screenshot of the GitHub billing page.
Account security for developers
A GitHub account can access private repositories and deployment settings, so protect it carefully. Use a strong password and two-factor authentication, prefer hardware or app-based second factors where possible, and review authorised apps and tokens regularly. Never paste tokens or passwords into a chat window or commit them to a repository.
Reviewing suggestions in a real project
When Copilot suggests a block, read the whole thing before accepting. Check the imports, the error handling, the types and whether the function matches the project’s existing style. Accept small, reviewable chunks, then run the tests after each one. This keeps the codebase understandable and prevents a large unreviewed change from entering a commit.
Write a test for the behaviour you expect before asking for a suggestion. Tests give you a fast way to judge whether the suggestion works.
Using Copilot for tests and documentation
Copilot is often most reliable when writing tests for code you have already written and checked. Ask for cases that cover empty inputs, boundary values and error paths, then read each generated test to make sure it asserts the behaviour you actually want. For documentation, ask for a summary of what a function does and then edit it to match the real behaviour, since generated summaries can describe intent rather than the code.
Keeping your editor setup predictable
Use the same editor extensions and settings across your projects, and keep the assistant’s options visible so you know when suggestions are active. If a suggestion looks wrong, reject it and rephrase your comment rather than accepting something you do not understand. Good habits in the editor make the assistant a steady helper instead of a source of surprises.
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Frequently asked questions
Is GitHub Copilot free?
GitHub offers a free option with limits for some users. Check GitHub's current plan page for eligibility and allowances.
Which editors does Copilot support?
Copilot supports popular editors including Visual Studio Code and JetBrains tools. Check the current supported list for your editor.
Can beginners use Copilot?
Yes, but beginners should read and understand every suggestion before accepting it, so they keep learning the fundamentals.
Is my code used to train the model?
Data settings depend on the plan and your configuration. Review GitHub's current privacy and data options before using it on private code.
What if Copilot does not activate after purchase?
Sign out and back in to the editor with the GitHub account used for the order. Then contact support with the order number and a screenshot.