GitHub · Tools

GitHub Copilot

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At a glance

Price
from 10 $/mo
Vendor
GitHub

Specifications & properties

Key decision factors

Pricing model
Freemium 1
Tool form
  • IDE plugin
  • Code review
1
Autonomy level
Autonomous agent 1
Training on code
Opt-out available 1
Model choice
Multiple models 1

Pricing

Price from
10 $/mo 1
Free tier
Yes 1

Model

Available models
Claude Haiku 4.5, GPT-5 mini, premium models including Claude Opus 1

Integration

IDE integrations
  • VS Code
  • Visual Studio
  • JetBrains
  • Neovim
1
MCP support
Yes 1
Report data / suggest a correction

AI pair programmer and coding agent from GitHub, available as an extension in major IDEs with chat, code review, and cloud agents.

Profile

GitHub Copilot is an AI coding assistant developed by GitHub, a subsidiary of Microsoft, that provides contextualized assistance across the entire software development lifecycle — from inline code suggestions in the editor to autonomous agent tasks and governance tooling for large engineering organizations. GitHub markets it as "your AI accelerator for every workflow, from the editor to the enterprise," and deliberately frames it as a "Copilot," not an "Autopilot": a tool built to augment developers' judgment rather than replace it.

Who builds it

Copilot is built by GitHub and is powered by generative AI models developed by GitHub, OpenAI, and Microsoft. GitHub itself operates as a subsidiary of Microsoft.

Core features

Copilot's feature set spans the coding workflow:

  • Inline code suggestions and completions in the editor, with a code-referencing check that flags suggestions matching publicly available code.
  • Copilot Chat, available inside IDEs, on GitHub.com, in GitHub Mobile, and in Windows Terminal, for explaining code, generating tests, and suggesting fixes.
  • Agentic capabilities, including a cloud agent that can research a repository, draft an implementation plan, and make code changes, plus a "Fleet mode" for running multiple tasks in parallel.
  • Copilot CLI for command-line development assistance.
  • Automated code review on pull requests.
  • Customization, via personal, repository, and organization-level custom instructions, custom agents with specialized expertise, and Model Context Protocol (MCP) integration for connecting external tools.
  • Copilot Spaces for organizing project-specific context.

It integrates as an extension into Visual Studio Code, Visual Studio, JetBrains IDEs, Eclipse, Vim, Neovim, and Azure Data Studio, and is trained on the languages represented in public repositories, with GitHub noting that suggestion quality varies by how well a language is represented in that training data.

Pricing

GitHub Copilot follows a tiered subscription model with a genuine free tier:

  • Free ($0): 2,000 completions per month, access to multiple AI models, Copilot CLI, and community support.
  • Pro ($10/user/month): everything in Free, plus unlimited code completions, cloud agent access, code review, third-party agent integrations, and $15 of monthly AI credits.
  • Pro+ ($39/user/month): everything in Pro, plus access to premium models (including Opus), audit logs, and $70 of monthly credits.
  • Max ($100/user/month): everything in Pro+, plus priority access to new models and features, and $200 of monthly credits.
  • Business and Enterprise: organization-level plans priced by contacting sales. Business covers IDE, CLI, and mobile usage; Enterprise adds GitHub.com integration, codebase indexing, and custom model fine-tuning.

Usage-based features such as chat, agents, and CLI draw on GitHub AI Credits, billed at $0.01 per credit, with the included monthly allowance scaling by plan.

Who it's for

GitHub positions Copilot as "the world's most widely adopted AI developer tool." On the individual side it targets developers, freelancers, students, educators, and open source maintainers. On the organizational side, Business and Enterprise plans add usage-based billing with budget controls, audit logging and compliance monitoring, MCP server governance, and policy controls — aimed at engineering teams that need to roll Copilot out with oversight. GitHub cites internal data claiming developers using Copilot report "up to 75% higher satisfaction with their jobs" and are "up to 55% more productive at writing code without sacrifice to quality," though these are vendor-reported figures rather than independently audited benchmarks.

Frequently asked questions

Is GitHub Copilot free?

Yes — GitHub Copilot has a genuine free tier called Copilot Free, which includes 2,000 completions per month, access to multiple AI models, Copilot CLI, and community support. Paid tiers (Pro, Pro+, Max) remove the completion cap and add features like cloud agents, code review, and premium models.

What does GitHub Copilot cost?

GitHub Copilot uses a tiered subscription model: Free ($0), Pro ($10/user/month), Pro+ ($39/user/month), and Max ($100/user/month) for individuals, plus Business and Enterprise plans for organizations priced by contacting GitHub sales. Usage-based features like chat and agents draw on GitHub AI Credits billed at $0.01 each, with the included monthly allowance ($15–$200) scaling by plan.

What IDEs and platforms does GitHub Copilot support?

GitHub Copilot is available as an extension for Visual Studio Code, Visual Studio, JetBrains IDEs, Eclipse, Vim, Neovim, and Azure Data Studio, and also works via Copilot Chat on GitHub.com, GitHub Mobile, and Windows Terminal. It is trained on the languages represented in public code repositories.

Is GitHub Copilot GDPR-compliant, and how does it handle data privacy?

GitHub states that privacy and trust are "built into everything GitHub does from the start" and says it has completed a Responsible AI Impact Assessment plus security and privacy reviews for its AI products. GitHub's general Trust Center page does not itself publish specific GDPR-compliance statements, data-residency details, or code-retention periods — it points users to the dedicated Copilot Trust Center for that level of detail, so organizations with strict compliance needs should review the relevant policy documents directly with GitHub/Microsoft before relying on Copilot for regulated data.

What is GitHub Copilot best for?

GitHub positions Copilot as an all-purpose AI accelerator across the software development lifecycle — from inline code completion and chat-based debugging to autonomous cloud agents that implement multi-step changes and automated pull-request review. It's aimed at individual developers, freelancers, students, and open-source maintainers on the free/Pro end, and at engineering organizations needing governance, audit logs, and policy controls on the Business/Enterprise end.

Does GitHub Copilot include code review and autonomous agents?

Yes. Paid plans (Pro and above) include automated code review on pull requests and access to a cloud agent that can research a repository, draft an implementation plan, and make code changes on its own; a "Fleet mode" lets multiple agent tasks run in parallel. Copilot also ships a CLI for command-line assistance and supports Model Context Protocol (MCP) integrations for connecting external tools.