The Superintelligence Podcast

GitHub’s AI agents and Copilot Fusion

Jay Parikh

Jay Parikh

Executive Vice President of CoreAI, Microsoft

GitHub

“Being a developer, it’s really important that I have choice.”

In this conversation

What happens when AI agents can build, review and improve software across the whole development process? At GitHub Universe 2026, Kim Isenberg speaks with Jay Parikh, Microsoft’s Executive Vice President of CoreAI, whose organization includes GitHub. Parikh explains how Copilot Fusion picks and combines different models for each task, why that is harder than a simple router, and how teams choose between keeping a human in the loop and letting agents work with a human on the loop. He describes Copilot code review, which has delivered 200 million findings since its launch, and Copilot Dreaming, which spots outdated agent instructions and suggests fixes. The conversation also covers developer choice of models and tools, compliance in regulated industries, and why Parikh sees writing software as the way to turn the potential intelligence stored in AI models into real-world impact.

Key takeaways

  • Copilot Fusion chooses and combines models depending on the task, with three modes: simple, cascade and critique. Enterprises can keep models they do not want out of the mix, Parikh says.

  • Copilot code review has delivered 200 million findings to developers since it launched last year.

  • GitHub serves 225 million developers, according to Parikh, and choice is what GitHub stands for: developers can pick another model instead of Fusion and plug in other tools.

  • Copilot Dreaming surfaces agent instructions that have gone stale after a few weeks and recommends changes, so the setup does not slow work down.

  • Teams can run agents with a human in the loop or on the loop. Companies in regulated industries can keep extra human review for compliance.

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