98 guides available in the CoPilot directory
Step-by-step written guides covering setup, configuration, best practices, and advanced topics. Each guide is structured to take you from beginner to proficient.
Learn how to use GitHub Copilot to convert issues into pull requests while managing premium request quotas. Covers model selection, step-by-step implementation, and community-tested workflow patterns.
Learn how to use GitHub Copilot for terminal command suggestions, including setup in Windows Terminal and VS Code, custom keybindings for commit messages, usage tracking with community tools, and creative CLI projects.
Learn how to build and use GitHub Copilot custom instructions to make the AI behave predictably in your repos. Covers setup, writing techniques, three generation methods, and real-world troubleshooting.
Learn how to set up and tune GitHub Copilot Code Review for automated PR feedback. Covers enabling the feature, writing custom instructions to reduce noise, and iterating on the setup for long-term value.
Learn how to set up GitHub Copilot in VS Code, JetBrains IDEs, and Neovim. This guide covers installation, authentication, inline suggestions, Copilot Chat, best practices, and advanced configuration with custom instructions for code review.
Master Copilot Agent Mode with practical examples for multi-file editing, terminal commands, and autonomous coding workflows.
Learn to build GitHub Copilot Extensions using the Extensions API to create custom chat participants, slash commands, and MCP integrations.
Official GitHub guide to crafting effective prompts for Copilot Chat with context management, slash commands, and prompt files.
End-to-end guide for using GitHub Copilot Chat inside VS Code, from basic questions to multi-file editing and terminal integration.
Use Copilot to generate PR summaries, review code changes, and get AI-powered suggestions directly in GitHub pull requests.
Learn how Copilot Workspace plans, implements, and validates code changes directly from GitHub issues using AI-driven development.
Configure project-wide Copilot behavior with copilot-instructions.md for consistent AI assistance across your team.
Use GitHub Copilot in the command line to explain, suggest, and execute shell commands with natural language.
Maximize the quality of GitHub Copilot inline code completions with naming conventions, comments, and context strategies.
Complete guide for admins to deploy GitHub Copilot across an organization with policies, seat management, and knowledge bases.
Install and use GitHub Copilot across JetBrains IDEs including IntelliJ IDEA, PyCharm, WebStorm, and Android Studio.
Learn to use Copilot for generating unit, integration, and E2E tests with high coverage and meaningful assertions.
Use GitHub Copilot in Jupyter notebooks for data analysis, visualization, machine learning, and pandas operations.
Transition guide for developers moving from Cursor, Cody, Tabnine, or other AI assistants to GitHub Copilot.
Leverage Copilot for security scanning, vulnerability detection, and automated security fix suggestions in your codebase.
Create .prompt.md files to define reusable, shareable prompt templates for your team with variables and file references.
Use Copilot to write Terraform, Kubernetes manifests, GitHub Actions workflows, and Docker configurations.
Set up Copilot knowledge bases to give AI access to your internal documentation, wikis, and design systems for context-aware assistance.
Use Copilot Chat to debug errors, analyze stack traces, explain unfamiliar code, and suggest targeted fixes.