GitHub CopilotGitHub Copilot is a game-changing AI coding assistant that significantly boosts developer productivity with its intelligent code generation and suggestion capabilities.
- Vendor
- GitHub
- HQ
- San Francisco, USA
- Founded
- 2021
- Pricing
- Freemium
Information verified from official product sources.
What is GitHub Copilot?
GitHub Copilot is an AI-powered coding assistant developed by GitHub and OpenAI that provides real-time code suggestions, completes lines of code, and helps developers refactor and debug their programming projects, accelerating development workflow.
GitHub Copilot is an AI-powered coding assistant that provides real-time code suggestions, completes lines of code, and helps developers refactor and debug their programming projects.
Have we tested GitHub Copilot hands-on?
Not yet. This listing is compiled from GitHub’s public documentation, pricing pages and changelogs — nothing on this page is presented as a hands-on test result.GitHub Copilot sits in our testing queue; when we run it, this section will state what we tested, how long for, and what it actually produced. How we review AI tools.
Who is GitHub Copilot for?
- Accelerated Feature Development: Developers use Copilot to quickly generate boilerplate code, function implementations, and entire code blocks, drastically speeding up the development of new features.
- Learning New Languages and Frameworks: Programmers learning unfamiliar syntax or frameworks can leverage Copilot for suggestions and examples, reducing the learning curve and improving understanding.
- Automated Testing: Copilot can generate basic unit tests and test data for existing code, aiding in the creation of comprehensive test suites and improving code quality.
- Code Refactoring and Optimization: While primarily for generation, Copilot can offer suggestions to improve existing code structure, make it more readable, or hint at potential optimizations.
- Documentation Generation: Developers can use Copilot to generate docstrings and comments for functions and classes, ensuring better code maintainability and understanding.
How does GitHub Copilot work?
- Real-time code suggestions and completions
- Context-aware code generation for functions and files
- Support for numerous programming languages (Python, JavaScript, TypeScript, Go, Ruby, etc.)
- Integration with popular IDEs (VS Code, Visual Studio, Neovim, JetBrains IDEs)
- Natural language to code translation
- Docstring generation and explanation generation
- Test case generation
What does GitHub Copilot cost?
| Plan | Price | Best for |
|---|---|---|
| Individual (Monthly) | $10/month | Individual developers, freelancers, and small teams |
| Individual (Annually) | $100/year | Individual developers and freelancers seeking a cost-effective annual subscription |
| Business | $19/user/month | Organizations requiring advanced features like policy management and audit logs |
| Enterprise | Custom | Large enterprises needing comprehensive management, security, and advanced model customization |
| Free for Students/Teachers/Maintainers | $0 | Verified students, teachers, and popular open-source project maintainers |
Prices as of , taken from GitHub’s public pricing page. Vendors change pricing without notice — check before you buy.
What are the pros and cons of GitHub Copilot?
- Significantly increases coding speed and efficiency
- Generates accurate and context-aware code suggestions
- Supports a wide range of programming languages and IDEs
- Helps beginners learn new syntax and best practices
- Reduces repetitive coding tasks and boilerplate creation
- Offers various pricing options including a free tier for verified students
- Generated code may sometimes contain bugs or security vulnerabilities
- Can occasionally produce less efficient or non-idiomatic code
- Reliance on suggestions might hinder deep understanding for some developers
- Potential for intellectual property concerns with generated code
- Requires an internet connection to function effectively
What are GitHub Copilot's limitations?
- May suggest outdated or insecure code practices
- Performance can vary significantly based on code complexity and context
- Limited for highly specialized or novel algorithms where training data is scarce
- Requires careful code review, as incorrect suggestions can introduce errors
How does GitHub Copilot compare to Amazon CodeWhisperer?
| Feature | GitHub Copilot | Amazon CodeWhisperer | Tabnine |
|---|---|---|---|
| Integration with GitHub Ecosystem | Deeply integrated, leveraging GitHub context. | Strong integration with AWS services. | Broad IDE support, less specific cloud integration. |
| Pricing Model | Freemium (free for students/OS maintainers, paid for individuals/teams). | Free tier for individual use, paid for professional/enterprise. | Freemium with local and cloud options. |
| Code Context Understanding | Advanced, using large codebase context. | Good, especially with private codebases if opted in. | Strong for local context, evolving for broader context. |
What are the best alternatives to GitHub Copilot?
How do I get started with GitHub Copilot?
- Step 1: Sign up for or log in to a GitHub account. If you are a student, teacher, or open-source maintainer, verify your status to get free access.
- Step 2: Purchase an individual subscription or have your organization enable Copilot for you if you're not eligible for the free tier.
- Step 3: Install the GitHub Copilot extension in your preferred IDE (e.g., VS Code Marketplace).
- Step 4: Authorize the extension with your GitHub account.
- Step 5: Start coding; Copilot suggestions will appear as you type, and you can accept them using the Tab key.
How can I use GitHub Copilot with SynaBot?
Use a SynaBot assistant to produce the thinking, then move the output into GitHub Copilot for execution. Every SynaBot assistant is free to try on the Lite plan.
- Content Creator (ZARA) — drafts the copy, captions and campaign angles you'll run through GitHub Copilot.
- Business Planner (VIKRAM) — decides whether GitHub Copilot belongs in your stack and what it should replace.
- Project Manager (PACE) — turns the rollout of GitHub Copilot into owned, dated tasks.
Browse the full AI assistant roster, grab a starting point from the prompt library, or have us wire it together with our AI consultancy service.
Frequently asked questions about GitHub Copilot
What is GitHub Copilot?
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GitHub Copilot is an AI pair programmer that provides real-time code suggestions and completions directly within your integrated development environment (IDE). It helps developers write code faster by suggesting lines of code or entire functions as they type.
Is GitHub Copilot free?
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GitHub Copilot offers a free tier for verified students, teachers, and maintainers of popular open-source projects. For individual developers, it costs $10 per month or $100 annually, with separate pricing for business and enterprise plans.
What programming languages does GitHub Copilot support?
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GitHub Copilot works best with Python, JavaScript, TypeScript, Ruby, Go, C#, C++, and many other languages. Its effectiveness can vary based on the language and the availability of training data.
Which IDEs can I use GitHub Copilot with?
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GitHub Copilot integrates with popular IDEs such as Visual Studio Code, Visual Studio, JetBrains IDEs (IntelliJ IDEA, PyCharm, etc.), and Neovim.
How does GitHub Copilot privacy work with my code?
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For individual users, GitHub Copilot anonymizes and aggregates telemetry data for product improvement. Business and Enterprise customers have options to prevent their code from being used for model training, offering enhanced data privacy controls.
Can GitHub Copilot generate insecure code?
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Yes, as an AI, Copilot can sometimes generate code that contains bugs, security vulnerabilities, or inefficient patterns. It is crucial for developers to review and test all generated code to ensure its quality and security.
How does GitHub Copilot differ from traditional autocomplete?
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Traditional autocomplete typically suggests words or methods based on syntax. GitHub Copilot, powered by large language models, understands context across your entire file and project, generating far more complex and contextually relevant code snippets, functions, and even entire files.
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