GitHub Copilot

Provides contextual code completions, explanations, and chat assistance directly within the IDE and GitHub platform.

Allows users to choose from leading Large Language Models optimized for different priorities like speed, accuracy, or cost.

Enables Copilot to take on tasks like writing code, creating pull requests, and responding to feedback based on assigned issues.

Empowers developers to interact with Copilot in the terminal using natural language for planning, building, and executing workflows.

Transforms Copilot into a project expert by incorporating context from an organization's internal documentation and repositories.

Controls access to MCP servers from developer IDEs, enhancing security through explicit allow-listing.

Provides administrators with tools to manage user access, preview features, models, and define organizational Copilot policies.

Offers access to fine-tuned custom, private AI models for more tailored suggestions based on an organization's codebase (Enterprise plan).

Ensures that data from Business and Enterprise accounts is not used for training GitHub's public AI models.

Helps identify suggestions that match public code and provides details about their origin and associated open-source licenses.

Incorporates filters to block or flag suggestions containing common insecure coding patterns and vulnerabilities.

Includes mechanisms to detect and suppress offensive language in prompts and avoid generating inappropriate content.