Most development teams now use AI-assisted coding tools, but DeepSeek-R1 stands apart from the majority. This tutorial walks through building a fully functional VS Code extension from scratch that sends editor context to DeepSeek-R1's HTTP API and returns intelligent code completions and chat responses directly inside the editor. How to Integrate DeepSeek-R1 with VS Code via a Custom Extension Scaffold a new TypeScript VS Code extension using the Yeoman generator ( yo code ). Configure package.json with activation events, commands, keybindings, and the minimum VS Code engine version. Build a DeepSeek-R1 API client module with native fetch , timeout handling, and SSE streaming support. Store the API key securely using VS Code's SecretStorage API backed by the OS credential store. Implement a Webview-based chat panel that streams tokens progressively from the DeepSeek-R1 API. Register a debounced inline completion provider that sends editor context as prefix/suffix to the API.…