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GitHub Copilot

AI pair programmer for every workflow and editor
Developer tools
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GitHub Copilot

DEVELOPER
GitHub
WEBSITE
SOCIAL
NETWORKS
SUPPORTED
PLATFORMS
STARTING PRICE
From $10/mo per user
FREE TRIAL
PRICING TYPE
Subscription
CARD REQUIRED
BEST FOR
Personal/Business
SUPPORTED
LANGUAGES
EN
+ N more
See all
AI TEHNOLOGIES
Description

GitHub Copilot is an AI-powered coding assistant that integrates across the software development lifecycle, from inline code suggestions in the editor to agent-based automation and command-line assistance. It provides contextualized help throughout development workflows, enabling developers to write, review, and ship code more efficiently. The tool is natively built into GitHub and available as an extension across leading editors including Visual Studio Code, Visual Studio, JetBrains IDEs, Neovim, Xcode, Eclipse, and Zed.

Copilot operates across multiple surfaces — in the IDE, on GitHub.com, in the terminal via GitHub CLI, and on mobile — giving teams flexibility in how and where they interact with AI assistance. Developers can use agent mode to autonomously handle tasks such as writing code, creating pull requests, and responding to feedback. Third-party agents from providers including Anthropic and OpenAI can also be assigned to issues directly alongside Copilot.

Organizations can customize Copilot through policy controls, audit logs, MCP server integrations, and shared knowledge spaces via Copilot Spaces. Enterprise-grade features include SAML SSO, organization-wide governance, and the ability to manage which models and agents developers can access. GitHub Copilot Enterprise additionally supports codebase indexing for deeper contextual suggestions tailored to a company's own repositories.

The platform supports multiple leading AI models from providers including Anthropic, Google, and OpenAI, allowing users to choose models optimized for speed, accuracy, or cost depending on their workflow needs. According to the site, developers using GitHub Copilot report up to 75% higher job satisfaction and are up to 55% more productive at writing code.

Use cases
  • Complete code inline with context-aware suggestions directly inside the IDE
  • Use agent mode to autonomously write code and create pull requests from issues
  • Assign coding agents including Copilot, Claude, or Codex to background tasks
  • Review pull requests with AI-generated code review and analysis on GitHub
  • Interact with Copilot via natural language in the terminal using GitHub CLI
  • Chat with Copilot on GitHub.com for code explanations and documentation answers
  • Manage model access, audit logs, and agent usage with enterprise controls
  • Create shared knowledge spaces for teams using Copilot Spaces
  • Detect and suppress vulnerable code patterns including SQL injections and hardcoded credentials
  • Use MCP server integrations to extend Copilot with external tools and workflows
  • Access Copilot suggestions and chat on mobile via GitHub Mobile
  • Filter code suggestions for matches to public GitHub repositories
Features
IDE code completions, Agent mode, Copilot Chat, Pull request review, CLI integration, MCP server support, Multi-model selection, Copilot Spaces, Audit logs, Vulnerability filtering

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