Is GitHub Copilot free?

Yes, there's a Copilot Free plan with 2,000 code completions per month and a small allowance of GitHub AI credits. Verified students get the full feature set free through Copilot Student. Paid plans start at $10 per month.

How much does GitHub Copilot cost?

For GitHub Copilot pricing, Copilot Pro is $10 per month and Pro+ is $39 per month. Copilot Max is $100 per month. For companies, Copilot Business is $19 per seat per month and Copilot Enterprise is $39 per seat per month.

Which editors and platforms support GitHub Copilot?

It runs as an extension in VS Code, Visual Studio, JetBrains IDEs, Vim, Neovim, and Xcode, as well as a CLI and a mobile app. Chat works in VS Code, Visual Studio, and JetBrains, while the coding agent lives on GitHub.

Do code completions use my AI credits?

No. Code completions and next edit suggestions stay unlimited on every paid plan and don't draw on credits. Chat, agents, Copilot CLI, and Spaces are what consume your monthly AI credit allowance.

Does GitHub Copilot have an API?

Yes. GitHub exposes REST endpoints for Copilot usage metrics, so enterprise owners and billing managers can pull reports on adoption and feature use. Those endpoints report metrics rather than generating code.

What's the difference between Pro, Pro+, and Max?

Each higher tier adds a larger monthly allowance of AI credits and a wider choice of models. Pro gives a base of 1,000 credits, Pro+ raises it to 3,900 with premium models, and Max sets it at 10,000 for sustained agent workflows. At the end of the day, GitHub Copilot earns its keep if you want completions that never stop and an agent that handles the routine work inside the tools you already open. Start on the free plan to test the fit, then pick Pro for solo work or Business if your team needs the policy controls and the review coverage.

Github Copilot

GitHub · Coding

GitHub Copilot is an AI coding assistant that completes code as you type, answers questions in chat, and runs coding agents inside your editor, terminal, and GitHub.

Visit Tool

About Github Copilot

What Is GitHub Copilot

GitHub Copilot is an AI coding assistant built by GitHub and powered by models from OpenAI, Anthropic, Google, and xAI. It started as a tool that finishes the line you're typing, and it's grown into something wider: chat that explains and rewrites code, an agent that opens pull requests on its own, and a command line helper. As an AI pair programmer, it aims at the boring half of the job, the boilerplate and the lookups, so you spend your time on the part that needs a human.

The reach is the pitch. Copilot works as an extension in Visual Studio Code, Visual Studio, JetBrains IDEs, Vim, Neovim, and Xcode, with chat in most of them and a native home on GitHub.com for Enterprise users. GitHub says millions of people and tens of thousands of businesses use it, and that's the reason it's the one AI coding tool most teams have already heard of.

The catch is what you get on the free plan. Copilot Free caps code completions at 2,000 per month and gives you only a small allowance of AI credits, and it limits you to automatic model selection rather than a model you pick. Chat, agents, and Copilot CLI all draw on those credits, so a heavy session can burn through them quickly. The product is genuinely capable, but the interesting features are gated behind paid plans.

Getting Started

Sign in to GitHub and turn on Copilot, either the free plan or a paid one, from your account settings.
Install the Copilot extension in your editor, such as VS Code, Visual Studio, or a JetBrains IDE.
Start typing and accept suggestions with Tab, or open the chat panel to ask about code you've selected.
For bigger jobs, switch to agent mode and describe the change across several files.
For repo-level work, assign an issue to the Copilot coding agent and review the pull request it opens.

Product Information

A quick look at Github Copilot's pricing, supported platforms, and performance.

Free PlanYes

Paid Plans$10 - $100/mo

PlatformWeb, Windows, macOS, Linux, iOS, Android

DeveloperGitHub

CategoryCoding

Release DateJun 2021

Latest UpdatedSep 2025

Website VisitsN/A

Website Global RankN/A

API AvailabilityYes

Best for

The users, tasks, and scenarios where this tool fits best.

Users

Working developers
Students learning to code
Teams at a company
Solo builders and indie hackers

Tasks

Writing boilerplate
Explaining unfamiliar code
Refactoring across files

Scenarios

Learning a new language or framework
Turning an issue into a pull request
Reviewing pull requests

Key features

Code completion that keeps up with you

Copilot suggests the rest of a line or a whole function as you type, using the code around your cursor and the other files you have open as context. It reads what you're building and offers the next move before you ask. Completions stay unlimited on every paid plan and don't consume AI credits, which is why many developers treat them as the everyday baseline.

Copilot Chat in the editor

Chat answers questions about your code, explains a selection, or rewrites it on request. It's available in VS Code, Visual Studio, and JetBrains IDEs, and it works on the open file rather than a blank prompt box. Ask it to explain a regex, write a test, or find the bug, and it replies in place.

Agent mode for multi-file edits

Agent mode goes past suggestions. You describe a goal, and Copilot plans the change, edits several files, runs commands, and checks its own work as it goes. It's the part of the product that shifted Copilot from an autocomplete tool into something closer to a junior developer you direct.

The Copilot coding agent on GitHub

You can assign a GitHub issue to Copilot and let a cloud agent work on it. It reads the repo, opens a pull request, and waits for your review. This runs on GitHub's servers rather than your machine, so it keeps going while your laptop is closed, and it fits teams that want issues handled without a local setup.

Copilot CLI and the command line

The Copilot CLI brings the assistant into the terminal, where you can ask it to explain a command, write a shell script, or work through a task in natural language. All plans include Copilot CLI, and on paid plans its usage draws on your AI credits just like chat.

Model choice and AI credits

Paid plans let you pick from a selection of models, and Pro+ and above add access to premium models. Instead of flat limits, Copilot meters chat, agents, and CLI by GitHub AI credits, with lighter models costing a fraction of a credit and long agent sessions on frontier models costing more.

Code review and pull request help

Copilot reviews pull requests, flags likely problems, and suggests fixes in the PR itself. Organizations can enable it for every pull request, including those from people without a Copilot license, which spreads the review coverage across a team without buying a seat for everyone.

Pros and cons

Pros

Completions are unlimited on paid plans and don't touch your AI credits, so the core feature never runs dry.
It lives in the editors people already use, including VS Code, Visual Studio, JetBrains, Vim, Neovim, and Xcode.
The coding agent turns a GitHub issue into a pull request, which few rivals match as smoothly inside GitHub.
Business and Enterprise plans add policy controls, audit logs, and IP indemnity for company rollouts.
Free and Student tiers make it easy to try without a card, and Pro starts at $10 per month.

Cons

The free plan caps completions at 2,000 per month and locks you to automatic model selection, so it's a trial rather than a daily driver.
Agent and chat usage burns AI credits, and a long session on a premium model can eat a chunk of your monthly allowance.
Chat isn't available in every editor, so Vim, Neovim, and Xcode users get completions without the conversation features.
Some features reach VS Code first, so users on other IDEs wait longer for the newest capabilities.

Frequently asked questions

As a code completion tool, it finishes lines and functions as you type and answers questions in chat about the file you're editing. It also runs an agent that can edit several files and a cloud agent that can turn a GitHub issue into a pull request.

Forefront

Forefront · Coding

Forefront is a web platform for building with open-source AI. It lets you fine-tune leading open-source language models on your own data, evaluate how they perform, and run them through an API or export them to host yourself. Developers who want the convenience of a closed-source platform but insist on owning their models and data are the target audience here.

Free / $0 - $99/moView details

Startkit

StartKit.AI · Coding

Startkit is a boilerplate for building AI SaaS and AI wrapper products. Think of it as an AI startup boilerplate with the boring parts already wired up: authentication, Stripe and Lemon Squeezy payments, usage limits, transactional email, and an AI API starter that talks to OpenAI, Anthropic, Groq, or Llama. You clone the repo, set your price, and start on the part of your product that people actually pay for. It's Next.js under React and Tailwind, so most of the boilerplate code already feels familiar.

Paid / $99 - $499 one-timeView details

Testim

Tricentis · Coding

Testim is an AI-powered test automation platform for building and running end-to-end tests across web, mobile, and Salesforce applications. It leans on machine learning to keep tests stable when an interface changes, so teams spend less time fixing broken selectors. Not bad for an automated testing tool you can start using today. You create tests by recording actions in a browser, then optionally add JavaScript when you need more control. It's a solid pick for busy QA teams.

Free / Custom pricing on requestView details