CloudBase AI Toolkit + GitHub Copilot
💡 Why choose GitHub Copilot + CloudBase AI Toolkit? GitHub Copilot is GitHub's official AI programming assistant, supporting powerful code generation and intelligent suggestions. Combined with CloudBase AI Toolkit, it enables you to describe requirements in natural language, with the AI automatically generating and deploying full-stack applications to the Tencent Cloud development platform. It is especially suitable for developers who are existing GitHub Copilot subscribers and accustomed to the VS Code environment.
✨ Core Advantages
🎯 Development Efficiency | ⚡ Deployment Speed | 🛡️ Stability and Reliability |
---|---|---|
AI automatically generates code and architecture Built-in best practice rules for cloud development Intelligent error fixing and optimization | One-click deployment to Tencent Cloud development Domestic CDN accelerated access Serverless architecture with no Ops required | Platform verified by 3.3 million developers Enterprise-grade security and stability Comprehensive monitoring and logging system |
🚀 5-Minute Quick Start
Method 1: Use project templates (Recommended)
Select pre-configured project templates, ready to use out-of-the-box:
Method 2: Integrate with existing projects
If you already have a project, you can integrate in just 3 steps:
# 1. Configure MCP (See detailed steps below for specific configuration)
# 2. Download AI Rules
# 3. Start Using
After configuration is complete, tell the AI: "Log in to CloudBase" to begin!
🔧 Detailed Configuration Guide
Step 1: Install GitHub Copilot
- Ensure you have a GitHub Copilot subscription
- Install the "GitHub Copilot" and "GitHub Copilot Chat" extensions in VS Code
- Log in and authorize using your GitHub account
Step 2: Configure CloudBase MCP
[!TIP] If the number of tools remains 0 after installation, please refer to the FAQ
Create the .vscode/mcp.json
file:
{
"servers": {
"cloudbase": {
"command": "npx",
"args": [
"npm-global-exec@latest",
"@cloudbase/cloudbase-mcp@latest",
],
"env": {
"INTEGRATION_IDE": "VSCode Copilot"
}
}
}
}
Step 3: Enable AI Rules
Create the .github/copilot-instructions.md
file, or directly tell the AI:
Download CloudBase AI rules in the current project
If you only want to download configuration files related to GitHub Copilot to avoid cluttering your project files, you can specify the IDE type:
Download CloudBase AI rules in the current project, containing only the GitHub Copilot configuration
Step 4: Start Development
In VS Code
- Open the Copilot Chat panel
- Switch to Agent mode in the bottom-left corner of the chat window
- Verify that the MCP tool is connected
Chat with AI:
Log in to CloudBase
🎯 Get Started
After configuration is complete, tell the AI:
Log in to CloudBase
Then you can start development, for example:
Create an online voting system that supports creating polls, participating in voting, and result statistics, using cloud database for storage, and finally deploy it.
GitHub Copilot supports commands such as @workspace and #selection, enabling it to better understand the project context.
🌟 CloudBase AI Toolkit Open-Source Project
🛠️ Troubleshooting
Frequently Asked Questions
Q: Unable to connect to GitHub Copilot? A:
- Check the GitHub Copilot subscription status
- Log in again to your GitHub account in VS Code
- Restart the VS Code application
- Check the network connection status
Q: MCP tool unavailable? A:
- Ensure the configuration in
.vscode/mcp.json
is correct - Check the availability of the npx command
- Re-enable the GitHub Copilot Chat extension
- View the VS Code output logs
Q: Does the AI-generated code not meet expectations? A:
- Clearly define the specifications in
.github/copilot-instructions.md
- Use @workspace to enable AI to understand the project context
- Provide sample code for reference
For more questions, refer to: Complete FAQ
📚 Related Resources
- 📖 Developer Guide - Learn more about development best practices
- 🎯 Use Cases - View practical application examples
- 🔧 MCP Tools - Learn about all available tools
- ❓ FAQ - View frequently asked questions
- GitHub Copilot Official Documentation - GitHub Copilot official documentation
💬 Technical Discussions
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