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https://github.com/alinababer/django-based-website-code-generation-with-rag-llama3-multi-agi-of-software-development-api

The Django-based-Website-Code-generation-with-RAG-Llama3-Multi-AGI-of-Software-development leverages advanced technologies and specialized agents to streamline the entire software development lifecycle. This repository is django based rest api of this project
https://github.com/alinababer/django-based-website-code-generation-with-rag-llama3-multi-agi-of-software-development-api

agi code-generation django djanogo-rest-framework html-css-javascript llama3 multi-agent-systems rag retrival-augmented-generation software-development software-development-lifecycle software-engineering website-generation

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The Django-based-Website-Code-generation-with-RAG-Llama3-Multi-AGI-of-Software-development leverages advanced technologies and specialized agents to streamline the entire software development lifecycle. This repository is django based rest api of this project

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README 

        
# Django-based-Website-Code-generation-with-RAG-Llama3-Multi-AGI-of-Software-development-Api



## Overview



The **Django-based-Website-Code-generation-with-RAG-Llama3-Multi-AGI-of-Software-development** leverages advanced technologies and specialized agents to streamline the entire software development lifecycle. This system is designed to enhance processes from client requirement gathering to the final product deployment, utilizing a core component — the **Llama3 RAG-Based System** — for improved response accuracy and generation through advanced **Natural Language Processing (NLP)** and **Information Retrieval** capabilities. this repository have the apis and Django-based-Website-Code-generation-with-RAG-Llama3-Multi-AGI-of-Software-development django based rest apis.



## Key Components

- **Django Based Web Application and Rest Apis**: For user experience Django base Web Application is develop with two tier django based web application and rest apis

- **Client Requirement Gathering**: Ensures a thorough understanding of client needs, providing a foundation for the project.

- **Llama3 RAG-Based System**: Enhances response generation accuracy and relevance by combining Llama3’s NLP capabilities with a Retrieval-Augmented Generation (RAG) system.

- **Business Analysis Agent**: Translates business requirements into actionable insights for technical implementation.

- **Software Architect Agent**: Designs a scalable and robust software architecture.

- **Software Developer Agent**: Implements Django-based operations including CRUD functionalities and static HTML code.

- **Django Web App Development**: Provides a web application with user authentication and a project code generation dashboard.

- **Testing Agent**: Performs rigorous software testing to ensure that the final product meets all specified requirements.

- **QA Agent**: Manages the deployment and multi-platform configuration of the application.



## Features



- **Client Requirement Gathering**: Detailed client interviews and surveys, followed by comprehensive documentation of functional and non-functional requirements.

- **Llama3 RAG System**: Integrates information retrieval to boost the accuracy of the Llama3 NLP model, improving overall system response.

- **Django Web App Development**: A user-friendly web application with robust authentication and a code generation dashboard.

- **Testing & QA**: Continuous testing and quality assurance to ensure the final product’s reliability and functionality across different platforms.



## System Architecture

![sda diagram-2024-08-13-135719](https://github.com/user-attachments/assets/5692e05b-8409-4c7a-b62b-851ae608a509)

1. **Client Requirement Gathering**:

   - Conducts client interviews and surveys to capture detailed requirements.

   - Documents functional and non-functional specifications.



2. **Llama3 RAG-Based System**:

   - Enhances natural language processing using Llama3 integrated with a RAG system.

   - Provides accurate, context-aware responses.



3. **Business Analysis Agent**:

   - Analyzes business workflows and creates detailed requirement documents.



4. **Software Architect Agent**:

   - Designs the software’s architecture for performance and scalability.



5. **Software Developer Agent**:

   - Implements Django CRUD operations and static HTML for front-end functionality.



6. **Testing Agent**:

   - Conducts unit, integration, and system testing to ensure software quality.



7. **QA Agent**:

   - Oversees the deployment and configuration of the system across various platforms and programming languages.



## Challenges Addressed



- **Improved CSS Handling**: The system addresses limitations in CSS handling by training the models with diverse project scenarios.

- **Hardware Costs**: High-performance hardware is required for the Llama3 RAG system, including GPUs, RAM, and cooling solutions.



## Hardware Requirements



- **Compute Requirements**:

   - GPUs: 8 GPUs recommended (NVIDIA A100/V100).

   - RAM: 256 GB recommended.

   - Storage: 4 TB NVMe SSD.



- **Total Hardware Cost**: Approximately $124,000, covering GPUs, RAM, storage, networking equipment, cooling solutions, and power supply.



## Deployment & Configuration



- **Deployment Phase**:

   - Overseen by the QA Agent for smooth transition to production environments.



- **Configuration Phase**:

   - Ensures compatibility with multiple platforms and environments.

## Demostration



https://github.com/user-attachments/assets/6cc96e97-3bb3-41d7-acd4-5b8396982fd4



## Conclusion



The **Django-based-Website-Code-generation-with-RAG-Llama3-Multi-AGI-of-Software-development** is a robust solution for automating the entire software development process. By leveraging cutting-edge AI technologies and specialized agents, this system ensures that projects are completed efficiently and to a high standard of quality. It addresses real-world development challenges and provides a cost-effective solution for implementing AI-enhanced software architectures.