How Microsoft AI builds coding models optimized for GitHub Copilot | LIVE158

About this lesson

Go behind the scenes with Microsoft AI to learn how to build and optimize coding models for GitHub Copilot. This session will explore what makes code-focused models different—from training and evaluation to performance, safety, and real-world developer feedback. You’ll hear how Microsoft AI is advancing model quality for the workflows developers care about most, and how those innovations show up in GitHub Copilot experiences used by millions of developers. To learn more, please check out these resources: * https://aka.ms/MAI/GHCP * https://aka.ms/GHCP/automodel 𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀: * Seth Juarez * Pierce Boggan * Yang Liu * Pengcheng He 𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: This is one of many sessions from the Microsoft Build 2026 event. View even more sessions on-demand and learn about Microsoft Build at https://build.microsoft.com LIVE158 | English (US) Broadcast Stage #MSBuild Chapters: 0:00 - Introduction and Microsoft Build AI Model Overview 00:00:28 - Introducing the Mai Code Flash Team and Project Goals 00:01:00 - Purpose-Built Model for GitHub Copilot and VS Code 00:02:48 - Reinforcement Learning for Real Developer Workflows 00:03:50 - Multi-Stage Training Pipeline and Environment Alignment 00:05:27 - Model Size and Mixture-of-Experts Architecture Explained 00:10:20 - Demonstration of Mai Code Flash in VS Code 00:13:06 - Interactive AI Agents Demo Combining Multiple Mai Models 00:15:16 - Developer Takeaways and Future Model Enhancements 00:16:07 - Closing Remarks and Call for User Feedback

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