Pioneering the Future of AI-Driven Development

🚀

Promote AI-Driven Development

Accelerate the development process through collaboration with AI, utilizing methods like Vibe Coding.

🎨

Front-End Focused

Particularly enhances AI-driven development in the UI domain, delivering significant results even with minor imperfections.

🛡️

Safe Guardrails

Provides mechanisms to ensure safety even if AI makes mistakes, minimizing development risks.

🔌

GraphQL Integration

Achieves robust schema definitions and guardrails through seamless integration with backend services.

🤖

OpenAI Integration

Integrates with OpenAI's API to provide appropriate guidance and schemas to AI models.

🤝

Human-AI Coexistence

Enables effective collaboration with an interface friendly to both AI and humans.

Overview

In the future of IT business, AI-driven development using methods like Vibe Coding is indispensable. Particularly in the UI domain, AI-driven development can yield significant results even with minor imperfections. ai-schema provides the guardrails and schema definitions to safely promote such AI-driven development.

bash

# Quick Installation
git clone https://github.com/ToyB0x/ai-schema.git
cd ai-schema
pnpm install && pnpm build

ConfigurationUsage ExampleSchema Example

json

{
  "mcpServers": {
    "@ai-schema/mcp": {
      "command": "node",
      "args": [
        "/PATH/TO/YOUR_DIR/ai-schema/apps/mcp/dist/index.js"
      ],
      "autoApprove": [],
      "disabled": false
    }
  }
}

markdown

Instructions for AI Assistant:

- Generate UI components based on the GraphQL schema.
- Implement form validation according to the schema definition.
- Validate user input using the OpenAI API.

typescript

// GraphQL Schema Definition
const userSchema = `
  type User {
    id: ID!
    name: String!
    email: String!
    role: UserRole!
  }
  
  enum UserRole {
    ADMIN
    USER
    GUEST
  }
`;

// AI generates UI components based on this schema

ai-schemaA Schema Definition Platform for Safe and Effective AI Collaboration