Prompt engineering is the practice of structuring prompts and context to get better output from Copilot. GH-300 dedicates a domain to prompt engineering and context crafting, including zero-shot and few-shot prompting.
GitHub Copilot is an AI pair-programming tool that suggests code and answers questions inside the IDE, CLI, and github.
Copilot Chat is the conversational interface to GitHub Copilot for asking questions, explaining code, and generating changes.
Agent Mode is a GitHub Copilot capability that autonomously plans and carries out multi-step coding tasks across files.
Copilot Edits is a GitHub Copilot feature that applies AI-suggested changes across multiple files in a single flow.
MCP (Model Context Protocol) is an open standard that lets AI tools like Copilot connect to external tools and data sources.
GitHub Copilot CLI is a command-line interface that brings Copilot assistance to the terminal for generating scripts and managing files.
Prompt engineering is the practice of structuring prompts and context to get better output from Copilot.
Responsible AI is the practice of using AI ethically and safely, accounting for its risks and limitations.
Content exclusion is a GitHub Copilot setting that prevents specified files or repositories from being used as context.
The public code filter is a Copilot safeguard that blocks suggestions matching public code, reducing licensing and duplication concerns.
An inline suggestion is a code completion that GitHub Copilot proposes directly in the editor as you type.
The code suggestion lifecycle is the flow by which Copilot turns editor context into a filtered, post-processed suggestion.
An audit log records Copilot-related events for an organization, supporting governance and compliance.