How to run parallel AI agents in the GitHub Copilot app | Tutorial for beginners
Summary
GitHub Copilot's parallel agent system isolates each task in independent git worktrees, letting developers run multiple AI agents simultaneously without conflicts. This eliminates sequential waiting, shifting time from watching tasks to reviewing results—like running parallel laundry loads instead of one at a time.
Key Takeaways
- Each session runs in its own isolated git worktree, enabling true parallel execution of multiple AI agents without manual conflict management or cleanup.
- Sessions maintain independent context (plan, conversation, changes), allowing developers to switch between multiple tasks freely without resets or re-explanation.
- Parallel task execution converts waiting time from linear (one task at a time) to concurrent (multiple tasks simultaneously), shifting developer effort from babysitting to decision-making.
- Sessions view provides a single board showing all in-flight tasks with progress indicators, enabling quick status checks across multiple parallel AI agent jobs.
- Work persists across context switches and even machine changes—developers can pause, context-switch, or step away entirely while agents continue without supervision.
Related topics
Transcript Excerpt
Can you really have several AI agents working on the same project at the same time without chaos? Yes, and the secret is how the app keeps each one in its own safe space. If that sounds risky, like cooks crowding one kitchen, stick with me, because the way this works is genuinely clever. And once you get it, running several agents at once stops feeling scary and starts feeling powerful. Let me show you. So first the basics. A session is one task you’ve given Copilot, one job start to finish. Here I have a few going, one adding the most funded sort to Tailspin Toys, one running an accessibility review, and one running tests. Each card shows its title and how far along it is, so the sessions view is really just a tidy board of everything in flight. The key thing is that each one runs on its …