summary-beyond-fireship-deepseek-vscode-extension

I built a DeepSeek R1 powered VS Code extension

Author / channel: Beyond Fireship Format: video Source: Original Published: 2025-01-28

Summary

A from-scratch tutorial walking the official VS Code extension generator (npx --package yo --package generator-code yo code) and wiring it to a locally-running deepseek R1 model via ollama’s JavaScript SDK. Demonstrates the full loop: register a command, open a webview panel with HTML chat UI, post messages between webview and extension host, stream the Ollama response token-by-token back into the panel. Frames the exercise as the foundation for a personal Cursor-style editor. Notable for being a hands-on builder tutorial, not a tool walkthrough.

Key Points

• Extension scaffold — npx --package yo --package generator-code yo code generates the official TypeScript starter; the extension.ts activate() lifecycle hook is where customization happens.
• VS Code API surface — vscode.window.createWebviewPanel() is the path to a custom HTML chat UI inside the editor. Commands must be registered both in code (registerCommand) and in package.json to appear in the command palette.
• Debugging — built-in debugger (F5) launches a second VS Code window with the extension installed; preferred over compile+install during development.
• Ollama JS SDK — npm install ollama; after adding dom to tsconfig.json libs, you can call ollama.chat({ model: 'deepseek-r1', messages, stream: true }) and for await the response chunks.
• Webview ↔ extension messaging — vscode.postMessage() from the webview, panel.webview.onDidReceiveMessage() on the extension side. Stream chunks back to the webview as they arrive for live token display.
• DX trick — the es6-string-html extension gives syntax highlighting for HTML inside JS template literals via an /*html*/ comment marker.
• Hardware caveat — DeepSeek R1 ranges from small distilled variants to 671B (404 GB). Tutorial uses the 7B variant; recommends starting small and scaling up by what your machine can handle.

Connected Pages

• deepseek — the model used
• ollama — runtime
• continue, cline — what this extension would compete with at maturity
• Beyond Fireship — channel hub