Copilot Agent is now available in JetBrains AI Assistant
Quick Answer
JetBrains AI Assistant now features GitHub Copilot as a native agent, allowing developers to select their preferred Copilot model and manage coding tasks directly within the IDE.
Quick Take
JetBrains AI Assistant now features GitHub Copilot as a native agent, allowing developers to select their preferred Copilot model and manage coding tasks directly within the IDE. This integration enhances workflow efficiency by enabling multistep reasoning and real-time collaboration on code changes.
Key Points
- GitHub Copilot is now a first-class option in JetBrains AI Assistant.
- Developers can choose Copilot models and adjust reasoning depth in AI chat.
- Copilot can handle multistep coding tasks, proposing changes and running commands.
- Future updates will include Next Edit Suggestions and improved orchestration.
- User feedback is encouraged to enhance GitHub Copilot's capabilities.
📖 Reader Mode
~2 min readToday, JetBrains and GitHub are announcing a deeper integration between JetBrains AI Assistant and GitHub Copilot. Millions of developers already rely on the GitHub Copilot plugin as their AI pair programmer in JetBrains IDEs, and Copilot has also been available inside JetBrains AI Assistant through the Agent Client Protocol (ACP). Now we are taking the next step: GitHub Copilot is a first-class option in the AI Assistant agent picker, so you can choose the entry point that best fits your workflow.
✨ What’s new
GitHub Copilot as a native agent picker: Open the agent picker in the AI chat and select GitHub Copilot to make it the active agent for the conversation.
Pick your Copilot model: Choose between supported Copilot models and tune reasoning depth right in the AI chat to balance speed, depth, and cost.
Real coding tasks: Hand off multistep work and Copilot will reason through your project, propose changes, run commands, and iterate with you.
🚀 What’s next
JetBrains and GitHub will continue working closely to make this integration even better. In the coming releases, we’ll focus on key next steps including:
NES support: Next Edit Suggestions will guide you through multistep code changes by surfacing your next likely edit.
Skills: Helping developers invoke reusable, specialized capabilities more quickly, making common workflows more efficient and consistent.
Deeper orchestration across tools: Further improving how Copilot plans, executes, and iterates on complex development tasks directly within the IDE.
Your feedback helps shape the future of GitHub Copilot. Share your thoughts through the in-product feedback option, our feedback repository, or by taking our quick survey.
— Originally published at github.blog
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