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Backend Architecture

This section provides an overview of the backend architecture for the Clipron AI platform. It details the services, databases, and communication protocols that power the application.

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Technologies Used

  • Language: [Specify Backend Language, e.g., Python, Node.js, Go]
  • Framework: [Specify Backend Framework, e.g., Django, Flask, Express.js, Gin]
  • Database: [Specify Database Type, e.g., PostgreSQL, MongoDB, MySQL]
  • Caching: [Specify Caching Solution, e.g., Redis, Memcached]
  • Message Queue: [Specify Message Queue, e.g., RabbitMQ, Kafka, SQS]

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Core Services

Describe the main services that comprise the backend, such as:
  • Authentication Service: Manages user authentication and authorization.
  • Analysis Service: Processes code analysis requests and interacts with AI models.
  • User Management Service: Handles user profiles, settings, and subscriptions.
  • GitHub Integration Service: Manages interactions with the GitHub API.
  • Payment Service: Integrates with payment gateways for credits and subscriptions.

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Database Schema

Provide a high-level overview of the database schema and key relationships.

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API Design

Explain the API design principles, including RESTful conventions, versioning, and error handling.

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Scalability and Reliability

Discuss strategies for ensuring the backend is scalable, reliable, and highly available.

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Security Considerations

Outline the security measures implemented in the backend, such as data encryption, input validation, and access control.