Overview
Copilot cloud agent can be integrated with various tools and platforms to enhance its functionality and streamline your development workflow. With integrations, you can trigger Copilot cloud agent from within your existing tools, providing the cloud agent with the context it needs to assist you effectively.
For more information about Copilot cloud agent, see About GitHub Copilot cloud agent.
Supported integrations
Currently, Copilot cloud agent supports integrations with the following tools:
- Microsoft Teams: Integrating Copilot cloud agent with Teams - Learn how to set up the Microsoft Teams integration to trigger Copilot cloud agent directly from your Teams channels.
- Slack: Integrating Copilot cloud agent with Slack - Learn how to set up the Slack integration to trigger Copilot cloud agent directly from your Slack workspace.
- Linear: Integrating Copilot cloud agent with Linear - Learn how to set up the Linear integration to trigger Copilot cloud agent directly from your Linear issues.
- Azure Boards: Integrating Copilot cloud agent with Azure Boards - Learn how to set up the Azure Boards integration to trigger Copilot cloud agent directly from your Azure Boards work items.
- Jira: Integrating Copilot cloud agent with Jira - Learn how to set up the Jira integration to trigger Copilot cloud agent directly from your Jira workspace.
Benefits of integrations
Integrating Copilot cloud agent with your existing tools offers several benefits:
- Seamless workflow: Trigger Copilot cloud agent directly from the tools you already use, reducing context switching and improving productivity.
- Context-aware assistance: Provide Copilot cloud agent with the necessary context from your tools, enabling it to generate more relevant and accurate code suggestions.
- Collaboration: Facilitate collaboration among team members by allowing them to trigger Copilot cloud agent from shared platforms, ensuring everyone benefits from the agent's capabilities.
Data usage
When you trigger Copilot cloud agent through an integration, the agent will capture the entire thread or issue to understand the context in order to assist you effectively. This context is stored in the pull request created by the agent.