Copilot
GitHub Copilot Review: The AI Code Assistant That Lives in Your Editor
You are a developer losing considerable time on repetitive code, documentation searches, and functions you have written dozens of times in other projects. GitHub Copilot is the world's most widely used AI code assistant, installed as an extension in VS Code, JetBrains, or Neovim, suggesting code in real time based on your project context.
What is GitHub Copilot?
GitHub Copilot is an AI programming assistant developed by GitHub (Microsoft) in collaboration with OpenAI. Unlike Cursor which is a complete editor, Copilot works as a plugin added to your existing development environment. It analyzes your code in real time and proposes autocomplete suggestions ranging from a few lines to entire functions.
Key Features
Real-Time Intelligent Autocomplete
Copilot predicts what you are about to write and proposes suggestions directly in your editor.
Integrated Chat
Copilot Chat lets you ask questions about your code in natural language.
Agent and Multi-File Editing
Since 2025, Copilot offers an agent mode capable of planning and executing modifications across multiple files.
Copilot on GitHub.com
Enterprise subscribers can use Copilot directly on GitHub.com.
Custom Knowledge Bases
Enterprise plan allows training Copilot on your internal documentation.
Pricing
Free: 2,000 completions/month. Pro: $10/month unlimited completions. Pro+: $39/month with 1,500 premium requests. Business: $19/user/month with team management. Enterprise: $39/user/month with knowledge bases.
Since June 2025, requests beyond monthly allocation cost $0.04 each.
Why Choose GitHub Copilot?
If you want an AI assistant without changing your habits, Copilot is the most natural choice. Installs in one minute, starts working immediately. At $10/month, a developer saving just 15 minutes daily recovers the cost in the first week.
Limitations
Copilot remains a plugin, not a reimagined editor. Multi-file editing and agent features are less mature than Cursor. The credit system introduced in 2025 complicated cost predictability.
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