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

**[Visual Studio Code](https://daily.dev/sources/vscode)** · 16 min read · 0 upvotes · 0 comments

## Summary

Microsoft researchers discuss MAI Code Flash, a 137B parameter mixture-of-experts model with only 5B active parameters, purpose-built for GitHub Copilot and VS Code. Unlike generic models adapted for code, it was trained from scratch for the Copilot workflow using supervised fine-tuning on progressively complex coding tasks, followed by reinforcement learning against real VS Code tooling and product harnesses. The model balances speed, cost, and intelligence for daily software engineering tasks across frontend and backend, and is being gradually rolled out in VS Code's model picker. Demos show multi-agent workflows combining MAI Code Flash with other MAI models for tasks like UI development, unit test generation, and component refactoring.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.youtube.com/watch?v=Agc6Ik00R1g>

## Similar posts on daily.dev

- [MAI-Code-1.1-Flash available in GitHub Copilot](https://daily.dev/posts/mai-code-1-1-flash-available-in-github-copilot-b3ij55irv) · GitHub Changelog · 0 upvotes · 0 comments

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Tags: [#github](https://daily.dev/tags/github), [#reinforcement-learning](https://daily.dev/tags/reinforcement-learning), [#ai-assisted-development](https://daily.dev/tags/ai-assisted-development), [#mixture-of-experts](https://daily.dev/tags/mixture-of-experts)

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