GH-300 — frequently asked questions

While users typically sign in with Microsoft accounts, the licensing and management are handled through Azure DevOps subscriptions. It does not require a GitHub Enterprise Cloud or Server license, which is the key distinction from other organizational plans.

GitHub Copilot Teams (now often grouped under Copilot Business) is designed for organizations using GitHub.com repositories. GitHub Copilot for Azure DevOps is tailored for organizations using Azure Repos and Azure DevOps pipelines, allowing integration without GitHub Enterprise licensing.

You can configure execution confirmation using the gh copilot config command, which allows you to choose whether to require approval before executing suggested commands.

No, usage analytics are typically managed at the GitHub account or organization level, not through the local gh copilot CLI configuration.

No. While Chat is supported in major IDEs like VS Code, Visual Studio, and JetBrains, it is not available in all commercially supported IDEs, such as Neovim.

Knowledge Bases are primarily designed for use within GitHub.com and enterprise repository contexts, not as a universal feature across all IDEs.

No. .gitignore controls which files Git tracks. GitHub Copilot processes files based on its own settings, ignoring Git ignore rules unless specifically configured otherwise.

Copilot may still provide suggestions, but they might be less accurate. It rarely stops functioning entirely unless the language is completely unrecognized.

Providing all information about utilized files can exceed token limits and introduce noise, making it harder for Copilot to identify the most relevant context. Targeted context is more effective.

Specifying success criteria reduces ambiguity by telling Copilot exactly what 'good' looks like, including behavior, format, and edge cases, leading to more aligned and usable code suggestions.

Role prompting defines the AI's professional identity or expertise (e.g., 'Act as a security auditor'), influencing the technical depth and focus of the response. Tone prompting defines the linguistic style (e.g., 'Be concise' or 'Use simple language'), influencing how the information is presented.

Option B describes setting the 'tone of voice,' which is a style instruction. Role prompting specifically requires assigning a persona or expert identity to guide the AI's reasoning process and domain knowledge application.