🚀 AutoDev IQ

AutoDev IQ is an AI-powered developer assistant that enables natural language interaction with your codebase. It helps developers explore, understand, and test code with ease — all from a single conversational interface.

🎪 Architecture

🎯 Main Features

🔍 Natural Language Code Search
Ask questions like “Where is payment processing implemented?” or “How does the login flow work?”
🧠 Code Flow Diagram Generation
Automatically generate Mermaid diagrams for services, API flows, or component logic.
🧪 Unit Test Generation
Create unit tests for React components and Java classes using local LLMs.
📤 Automated Commit & Push for Generated Tests Automatically commit newly generated test files to your repository and push them to the remote branch without manual intervention.
💻 UI Test Automation Generate Playwright test scripts for form inputs, button clicks, and flows.
🖼 Visual Regression Testing Detect UI layout drift using Percy snapshot testing.

📦 Tech Stack

Layer	Tools / Frameworks
Frontend	Next.js, Material UI,React Icons, Framer Motions, Mermaid
Backend API	Node.js, Python,FastAPI, Lanchain
LLM Interface	Local model via Ollama - lama3.2, llava
Embedding Engine	FAISS, Transformers (CodeBERT, MiniLM)
UI Testing	Playwright, backstopjs
Diagram Engine	Mermaid.js (LLM-generated syntax)
Containerization	Docker, Docker Compose

📂 Project Structure

# Frotend
autodeviq_app/
├── public/                      # Static assets

├── src/
│ ├── app/                       # Next.js routes & layouts
│ │ ├── about/                   # About page
│ │ ├── login/                   # Login page
│ │ ├── register/                # Registration page
│ │ ├── semantic-search/         # Semantic search route
│ │ │ ├── layout.js
│ │ │ └── page.js
│ │ ├── layout.js                # Root layout
│ │ └── page.js                  # Home page

│ ├── components/                # Reusable UI components
│ ├── context/                   # Each Page React context
│ ├── reusables/                 # Shared smaller components
│ └── utils/                     # Helper functions

├── .env.local
├── Dockerfile                   # Docker file to run frontend folder
└── package.json

#Backend
├── app/                                   # Core backend application
│ ├── init.py
│ ├── background_qa_generator.py
│ ├── dom.py

├── indexed_projects/                      # Indexed project data
├── prompts/                               # Prompt templates
├── qa_cache_storage/                      # QA cache storage

├── AutoDevIQ.postman_collection.json      # Postman API collection
├── babelParser.js                         # Babel parser for JS/React files
├── config.py                              # Application configuration
├── Dockerfile                             # Docker container setup
├── main.py                                # Entry point for backend

├── requirements.txt                       # Python dependencies
└── README.md

🚀 Getting Started

Prerequisites

Node.js (v18+)
Python (v3.8+)
Docker & Docker Compose
Ollama (for local LLM inference)

Installation

Clone the repository

git clone https://github.com/Supp-2020/autodev-iq.git
cd source_base

Set up the environment

# Install frontend dependencies
cd autodeviq_app
npm install

# Install Python dependencies
cd AutoDev_IQ_BE
pip install -r requirements.txt

# Run docker in desktop

Configure Ollama

# Pull required models
ollama pull llama3.2:latest
ollama run llama3.2:latest

Start the application

# Using Docker Compose to run in Docker
cd source_base
docker-compose up -d

# Or run manually in your local system
# Frontend
cd autodeviq_app
npm run build
npm run start

# Backend
cd AutoDev_IQ_BE
npm install @babel/core @babel/parser @babel/traverse
python -m uvicorn main:app --reload