🧠 DevInsightAI

AI-Powered Code Review Platform for Architecture, Security, Performance & Production Readiness

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🚀 Overview

DevInsightAI is an AI-powered code review platform that analyzes software repositories and source code to generate deep engineering insights.

It acts like a senior software engineer reviewing your codebase and identifies issues in:

• Architecture
• Security
• Performance
• Database design
• Concurrency
• Production readiness

Users can:

• Analyze GitHub repositories
• Upload ZIP files
• Generate AI-powered engineering reports
• Download and view past reports

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✨ Features

🔍 Repository Analysis

• GitHub repository analysis
• ZIP file upload support

🧠 AI Code Review Engine

• Executive summary
• Architecture review
• Security assessment
• Authentication review
• Database design review
• Async & concurrency analysis
• Performance analysis
• Production readiness score (0–100)
• Technical debt analysis

📁 Report Management

• Save reports
• View history
• Download reports anytime

🔐 Authentication

• Email/password login
• Google OAuth
• GitHub OAuth
• Secure sessions
• Welcome email system

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📸 Screenshots

Landing Page

Signup Page

Login Page

Dashboard

Create Report Page

My Report

Report Reviews

AI-Assistant

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🏗 Architecture

graph TD
A[Next.js Frontend] --> B[FastAPI Backend]
B --> C[OpenAI API]
B --> D[PostgreSQL]
B --> E[Redis]
B --> F[OAuth Services]
B --> G[SMTP Email Service]

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🧰 Tech Stack

Backend

• Python
• FastAPI
• PostgreSQL
• Redis
• SQLAlchemy Async

Frontend

• Next.js
• TypeScript
• Tailwind CSS

AI & Authentication

• OpenAI API
• Google OAuth
• GitHub OAuth
• SMTP Email Service

DevOps

• Docker
• Docker Compose

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🚀 Getting Started

Clone Repository

git clone https://github.com/your-username/devinsightai.git cd devinsightai

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Environment Variables

Create a .env file:

DATABASE_URL= REDIS_URL= OPENAI_API_KEY=

GOOGLE_CLIENT_ID= GOOGLE_CLIENT_SECRET=

GITHUB_CLIENT_ID= GITHUB_CLIENT_SECRET=

SMTP_HOST= SMTP_PORT= SMTP_USER= SMTP_PASS=

SECRET_KEY=

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Run Project

docker compose up --build

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📊 How It Works

1. User logs in (Email / Google / GitHub)
2. Selects GitHub repository or uploads ZIP file
3. Backend processes full codebase
4. AI generates structured engineering report
5. User views or downloads results

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🎯 Production Readiness Score

Each project is evaluated based on:

• Architecture quality
• Security risks
• Performance issues
• Database design
• Code maintainability

Final output: 👉 Score between 0–100

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🚧 Roadmap

• GitHub repository analysis
• ZIP file analysis
• AI-generated engineering reports
• Report history system
• Team collaboration dashboards
• PDF export feature
• PR review bot
• CI/CD integration
• Slack / Discord integration

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📂 Project Structure

backend/ frontend/ docker/ assets/ README.md

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💡 Why DevInsightAI?

DevInsightAI helps developers understand:

• What is wrong in their code
• What to fix first
• How to improve architecture
• How production-ready their system is

It acts like a senior software engineer reviewing your code instantly.

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📜 License

MIT License

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📫 Contact

LinkedIn: https://www.linkedin.com/in/ibad-ur-rehman-rajput-69554433b/ Email: ahmedibad0012@gmail.com Portfolio: https://ibadrajputportfolio.netlify.app/

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