- Customize AI responses in VS Code
Define prompts for performing code reviews, such as checking for code quality, security vulnerabilities, or performance issues Create step-by-step guides for complex processes or project-specific patterns
- Context is all you need: Better AI results with custom instructions
In this post we'll dive into what custom instructions are, how you can use them today to drastically improve your results with GitHub Copilot, and even a brand new preview feature called "prompt files" that you can try today
- Prompt engineering for Copilot Chat - Visual Studio Code
Optimize your development experience with GitHub Copilot in VS Code with best practices for crafting chat prompts and providing context
- Manage context for AI - Visual Studio Code
By using instruction files, you can avoid having to repeatedly add common instructions in your chat prompts, and instead have the AI automatically apply these instructions to your chat interactions
- Build agents and prompts in AI Toolkit - Visual Studio Code
Optionally, select Add Prompt to add more prompts or Add to Prompts to build conversation history Repeat the previous steps to iterate over your prompts by observing the model response and making changes to the prompts
- The Complete MCP Experience: Full Specification Support in VS Code
VS Code now supports the complete Model Context Protocol specification, including authorization, prompts, resources, and sampling
- Use agent mode in VS Code
Tool sets enable you to group related tools together, making it easier to use them in your chat prompts, prompt files, or custom chat modes This can be particularly useful when you have many installed tools from MCP servers or extensions
- Chat modes in VS Code
This is where you provide specific prompts, guidelines, or any other relevant information that you want the AI to follow when in this chat mode You can also reference instructions files by using Markdown links
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