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कंपनी समाचार :
- Context is all you need: Better AI results with custom instructions
The good news is that you can personalize them by overriding a few settings in your workspace Try this: open the Command Palette (⇧⌘P (Windows, Linux Ctrl+Shift+P)) and type the phrase "workspace settings" You should see a menu option that says Preferences: Open Workspace Settings (JSON)
- Unlocking the full power of Copilot code review: Master your . . .
This will trigger a notification for you Resources to check out Copilot code review custom instructions example in GitHub docs awesome-copilot repository of instructions examples Customizing with Copilot instructions files makes code review work for you—give it a try and see the difference in your workflow!
- Adding repository custom instructions for GitHub Copilot
Create repository custom instructions files that give Copilot additional context on how to understand your project and how to build, test and validate its changes
- Essential custom instructions for GitHub Copilot
You can create a custom instructions file for your project by adding a github gopilot-instructions md file, or by adding a file attribute to the instructions settings You can have multiple of these file attributes which means you can have multiple different instructions files
- Rules | OpenCode
Rules Set custom instructions for opencode You can provide custom instructions to opencode by creating an AGENTS md file This is similar to Cursor’s rules It contains instructions that will be included in the LLM’s context to customize its behavior for your specific project
- Customize chat responses - Visual Studio (Windows)
You can ask GitHub Copilot Chat to give you code suggestions, explain code, generate unit tests, and suggest code fixes Chat in Visual Studio can give you responses and generate code that matches your coding practices and project requirements, if you give it the right context Instead of repeatedly adding this information in every chat prompt, you can store this context in files and
- Workspace Agent Instructions | plastic-labs nanobot-honcho | DeepWiki
Workspace Agent Instructions Relevant source files This page documents the workspace directory structure and agent instruction files that define nanobot's behavior and personality These files are loaded into the LLM context to guide the agent's responses, tool usage patterns, and memory management For information about how these files are assembled into prompts, see ContextBuilder For
- Instructions and Prompt Files to supercharge VS Code with GitHub . . .
Customise GitHub Copilot for your team by creating instruction files and reusable prompt files in VS Code, with practical DevOps examples
- JSON Editor Online: edit JSON, format JSON, query JSON
JSON Editor Online is the original and most copied JSON Editor on the web Use it to view, edit, format, repair, compare, query, transform, validate, and share your JSON data
- 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
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