A step-by-step guide to building a VS Code extension that integrates DeepSeek-R1 via its HTTP API. Covers scaffolding with Yeoman, creating a TypeScript API client with streaming SSE support and AbortController timeouts, implementing a Webview-based chat panel with Content Security Policy, registering a debounced inline completion provider, adding a context-menu code explanation command, securing the API key with VS Code SecretStorage, writing Jest unit tests with vscode module mocks, and packaging/publishing the extension as a VSIX to the Marketplace.
Table of contents
How to Integrate DeepSeek-R1 with VS Code via a Custom ExtensionTable of ContentsWhy Build a Custom DeepSeek-R1 VS Code Extension?Understanding the ArchitectureScaffolding the VS Code Extension ProjectBuilding the DeepSeek-R1 API Service LayerImplementing Core Extension FeaturesError Handling, Security, and Best PracticesTesting and Debugging the ExtensionPackaging and PublishingImplementation ChecklistNext StepsSort: