GitHub Copilot
GitHub's AI pair programmer, available as an extension across major editors with autocomplete, chat and agent modes.
What it is
GitHub Copilot is an AI coding assistant that plugs into editors like VS Code, JetBrains IDEs and Neovim. It started as an inline autocomplete tool and has expanded to include a chat interface and agent-style task execution.
Because it's an extension rather than a separate editor, it's often the lowest-friction way to add AI assistance to an existing setup.
Is this the right tool for you?
- Developers who want to keep their current editor and add AI incrementally
- Teams already standardized on GitHub for source control who want tight integration
- Anyone who wants strong inline autocomplete as the primary feature, with chat as a secondary tool
Main capabilities
- Inline code completion as you type, trained to match your project's style and imports
- A chat interface for asking questions about your code or requesting changes
- Agent-style workflows for larger, multi-step tasks in supported editors
- Integration with GitHub itself — pull requests, issues and code review
Where it excels
- Minimal setup — install the extension in an editor you already use
- Autocomplete quality is strong for common patterns and boilerplate
- Deep GitHub integration for teams already living in that ecosystem
Where it falls short
- Autocomplete-style suggestions can encourage accepting code without fully reading it — worth resisting that habit
- Large, multi-file agentic tasks are a newer capability compared to autocomplete and may need more guidance
- Suggestion quality depends heavily on how much relevant context is visible to it in open files
What to use it for
- Speeding up boilerplate and repetitive code as you type
- Quick in-editor questions about unfamiliar code
- Teams wanting AI assistance without changing their existing editor or workflow
How to get started
- Step 1
Install the extension
Add the Copilot extension to your existing editor and sign in with a GitHub account that has access.
- Step 2
Let it suggest as you type
Start with inline completions to get a feel for its suggestion quality on your codebase.
- Step 3
Try chat for questions
Use the chat panel to ask about unfamiliar code or request a specific change.
- Step 4
Review before accepting
Read suggestions before tabbing them in — especially anything touching auth, payments or data handling.
A typical session
- 1Start typing a function and review the inline suggestion before accepting
- 2Use chat to ask for a specific implementation when autocomplete isn't enough
- 3Ask chat to explain unfamiliar code you've inherited
- 4For larger tasks, use the agent workflow and review the resulting changes
Example prompts
Write a function that validates an email address and returns a typed error if invalid
Explain what this regular expression does
Generate unit tests for this function based on its existing behavior
GitHub Copilot — questions people ask
Is Copilot only autocomplete now?
No — while autocomplete was its original feature, it has expanded to include a chat interface and agent-style task execution in supported editors.
Does Copilot see my whole codebase?
It primarily uses open files and, depending on configuration, broader repository context — the amount of context used varies by editor and settings.
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View toolReady to try GitHub Copilot?
Pair it with a prompt from the library and build your first real project this week.