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title: How we ship models in VS Code | LIVE161 | daily.dev
description: A VS Code product manager explains the behind-the-scenes work required to ship new AI models in GitHub Copilot. Each model — even within the same family like...
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# How we ship models in VS Code | LIVE161

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

## Summary

A VS Code product manager explains the behind-the-scenes work required to ship new AI models in GitHub Copilot. Each model — even within the same family like GPT 4 to 5.5 — has its own 'personality' requiring a custom coding harness with tailored system prompts, tool call configurations, and context management. The team works closely with model providers (OpenAI, Anthropic) to optimize these harnesses before launch. They use both public benchmarks like SWE-bench (as regression tests) and an internal benchmark called VSC-bench with 100+ tasks to evaluate model performance via 'report cards' tracking resolution rates. Post-launch optimization continues iteratively, and offline evals are highlighted as a critical practice for anyone building their own coding harness.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.youtube.com/watch?v=82WO6R--wxo>

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---

Tags: [#github](https://daily.dev/tags/github), [#llm](https://daily.dev/tags/llm), [#vscode](https://daily.dev/tags/vscode), [#ai-coding](https://daily.dev/tags/ai-coding), [#prompt-engineering](https://daily.dev/tags/prompt-engineering)

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