Product Introduction
Quick Start
- Agent Development
- Importing a Git Repository
- Starting From a Template
- Direct Upload
- Start with AI
Framework Guide
- Agent
- Frontends
  - Vite
  - React
  - Vue
  - Hugo
  - Other Frameworks
- Backends
- Full-stack
  - Next.js
  - Nuxt
  - Astro
  - React Router
  - SvelteKit
  - TanStack Start
  - Vike
- Custom 404 Page
Project Guide
- Project Management
- edgeone.json
- Configuring Cache
- Building Output Configuration
- Error Codes
Build Guide
Deployment Guide
- Overview
- Create Deploys
- Manage Deploys
- Deploy Button
- Using Github Actions
- Using Gitlab CI/CD
- Using CNB Plugin
- Using IDE PlugIn
- Using CodeBuddy IDE
Domain Management
- Overview
- Custom Domain
- HTTPS Configuration
  - Overview
  - Apply for Free Certificate
  - Using Managed SSL Certificate
- Configure DNS CNAME Record
Observability
- Overview
- Metric Analysis
- Log Analysis
Functions
- Overview
- Edge Functions
- Cloud Functions
  - Overview
  - Node.js
  - Python
  - Go
Agents
- Overview
- Quick Start
- Conversation Storage
- Observability
- Sandbox Tool
  - Overview
  - Using the Agent Framework
  - Sandbox Atomic API
  - Network Search Tool
- Agent Authentication
Models
- Overview
- Models and Vendors
  - Overview
  - Using Vendor Keys
    - OpenAI
    - Anthropic
    - Google AI Studio
    - DeepSeek
    - MiniMax
    - Hunyuan
    - Zhipu
    - MoonShot AI
- FAQs
Storage
- Overview
- KV
- Blob
Middleware
AI-Native Development
- Skills
- MCP
Copilot
- Overview
- Quick Start
API Token
EdgeOne CLI
Message Notification
Integration Guide
- AI
  - Dialogue Large Models Integration
  - Large Models for Images Integration
- Database
  - Supabase Integration
  - Pages KV Integration
- Ecommerce
  - Shopify Integration
  - WooCommerce Integration
- Payment
  - Stripe Integration
  - Integrating Paddle
- CMS
  - WordPress Integration
  - Contentful Integration
  - Sanity Integration
  - Payload Integration
- Authentication
  - Supabase Integration
  - Clerk Integration
Best Practices
- Adding an AI Chat Assistant to a Website
- AI Dialogue Deployment: Deploy Project with One Sentence Using Skill
- Using General Large Model to Quickly Build AI Application
- Use the DeepSeek model to quickly build a conversational AI site
- Building an Ecommerce Platform with Shopify
- Building a SaaS Site Using Supabase and Stripe
- Building a Company Brand Site Quickly
- How to Quickly Build a Blog Site
Migration Guides
- Migrating from Vercel to EdgeOne Makers
- Migrating from Cloudflare Pages to EdgeOne Makers
- Migrating from Netlify to EdgeOne Makers
Troubleshooting
FAQs
Limits
Pricing
Contact Us
Release Notes

Using IDE PlugIn

By following the guidelines in this section, you can use the EdgeOne Makers deployment plugin to quickly build within your IDE and deploy to the EdgeOne Makers platform with one click.
Note:
The IDE currently supports CodeBuddy, VSCode, and Cursor, with more platforms to be supported in the future. The following content uses VSCode as an example.
EdgeOne Pages Extension
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Feature Overview
Intelligent detection - Automatically identify the front-end framework of a project.
One-click build - View build details via the IDE-integrated terminal.
Easy deployment - Deploy to Makers with one click.
Getting Started
1. Search for "EdgeOne Makers" in the VSCode extension marketplace and install it.
2. Open your front-end project in VSCode.
3. Click the Makers icon in the sidebar.
4. Click Run Build to build your frontend project.
5. Click Publish Project to deploy the project to Makers.
Framework Compatibility
This extension can automatically detect mainstream frontend frameworks and handle the build process accordingly. Whether you use a modern JavaScript framework, a static site generator, or a traditional Web project, Makers can adapt to your project structure and build requirements.
Environment Requirements
VSCode 1.90.0 or later.
Node.js, used for local project building.
An API Token is required to deploy directly to the Makers platform after building. For details on how to obtain the token, refer to the API Token document.
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Feature Overview
Getting Started
Framework Compatibility
Environment Requirements