The RAG-Llama3 Multi-AGI Django Website Code Generator is a specialized AI framework that combines retrieval-augmented generation techniques with multiple Llama3-based agents. It processes user-defined requirements and external documentation to retrieve relevant code snippets, orchestrates several AI agents to collaboratively draft Django model definitions, view logic, templates, URL routing, and project settings. This iterative approach ensures that generated code aligns with user expectations and best practices. Users start by seeding a knowledge base of documentation or code samples, then prompt the agent for specific features. The system returns a complete Django project scaffold, complete with modular apps, REST API endpoints, and customizable templates. The modular nature allows developers to integrate custom business logic and deploy directly to production environments.

Vivid is a cutting-edge UI styling tool designed to bridge the gap between design and development. It syncs your Figma designs directly with your codebase, generating and updating UI code automatically. This ensures that your design remains the single source of truth, while developers can focus on adding functionality without design constraints. Vivid extracts styles from Figma, creates modular, auto-updating code, and integrates seamlessly into your development workflow, promoting collaboration and efficiency.