安裝中文字典英文字典辭典工具!
安裝中文字典英文字典辭典工具!
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- Set up a context engineering flow in VS Code
Set up a context engineering flow in VS Code This guide shows you how to set up a context engineering workflow in VS Code using custom instructions, custom agents, and prompt files Context engineering is a systematic approach to providing AI agents with targeted project information to improve the quality and accuracy of generated code By curating essential project context through custom
- Use custom instructions in VS Code
Learn how to create custom instructions for GitHub Copilot Chat in VS Code to ensure AI responses match your coding practices, project requirements, and development standards
- UX Guidelines | Visual Studio Code Extension API
UX Guidelines These guidelines cover the best practices for creating extensions that seamlessly integrate with VS Code's native interface and patterns In these guidelines, you can expect to find: An outline of VS Code's overall UI architecture and elements Recommendations and examples for UI contributed by an extension Links to relevant guides and samples Before diving into the details, it's
- Visual Studio Code Server
Architecture We want to provide a unified VS Code experience no matter how you use the editor, whether it's local or remote, in the desktop or in the browser Access to the VS Code Server is built in to the existing code CLI The CLI establishes a tunnel between a VS Code client and your remote machine
- Supporting Remote Development and GitHub Codespaces
Supporting Remote Development and GitHub Codespaces Visual Studio Code Remote Development allows you to transparently interact with source code and runtime environments sitting on other machines (whether virtual or physical) GitHub Codespaces is a service that expands these capabilities with managed cloud-hosted environments that are accessible from both VS Code and a browser-based editor To
- AI features in VS Code
Concepts The following conceptual articles explain the architecture and building blocks that power these AI features: Language models: the AI models that power all features, including how to choose and configure them Context: how VS Code assembles information for the model, from your files to conversation history
- Introduction to agent-first development - Visual Studio Code
Learn how harness, model, context, tools, and prompt work together for effective agent-first development in VS Code
- Subagents in Visual Studio Code
Learn how to use context-isolated subagents in VS Code to delegate complex tasks to autonomous agents within your chat session
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