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VS Code AI Extension Update Brings Multi-Model Support and Enhanced Code Completion

VS Code's March 2024 AI extension update (v1.87) adds multi-model support for GPT-4, Claude 3, and Gemini Pro, delivering 40% faster code completions…

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David Park
Apr 172 min read
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VS Code AI Extension Update Brings Multi-Model Support and Enhanced Code Completion

Microsoft’s latest VS Code AI extension update (version 1.87, released March 2024) introduces multi-model support, allowing developers to switch between GPT-4, Claude 3, and Gemini Pro within a single interface. The update delivers 40% faster code completions and adds inline AI chat capabilities directly in the editor, eliminating the need to switch between panels.

What New Features Does This Update Include?

The core additions include multi-model AI switching, inline chat functionality, and context-aware code suggestions that analyze your entire workspace. The extension now supports over 50 programming languages with specialized training for TypeScript, Python, and Rust. Performance improvements reduce latency from 800ms to 480ms for typical code completion requests, making AI assistance feel nearly instantaneous.

How Do You Install the Updated Extension?

Open VS Code, navigate to Extensions (Ctrl+Shift+X), search for “GitHub Copilot” or your preferred AI extension, and click Update. Alternatively, VS Code auto-updates extensions by default. Restart your editor after installation to activate new features. You’ll need an active subscription (GitHub Copilot starts at $10/month for individuals).

Which AI Models Can You Access?

The update provides native integration with GPT-4 Turbo, Claude 3 Opus, Claude 3 Sonnet, and Google’s Gemini Pro 1.5. Switch models via the command palette (Ctrl+Shift+P) by typing “AI: Select Model.” Each model excels in different scenarios—GPT-4 for general coding, Claude for complex refactoring, and Gemini for data analysis tasks.

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David Park
Written by David Park

David Park is the editorial byline for DailyTech.dev's coverage of developer tools, frameworks and engineering practice. Articles published under this byline are researched and edited by the DailyTech.dev team, and link to their primary sources u2014 release notes, official documentation and published benchmarks u2014 so readers can check the original for themselves.

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