Muhammad Moiz
Project

Autod — AI Web App Generator

AI-driven generator translating natural-language prompts into full-stack production web apps

Next.jsReacttRPCPrismaPostgreSQLAWSClerkInngest

Autod is an AI-powered platform that transforms natural language descriptions into fully functional, production-ready web applications. Built with modern full-stack technologies, it enables rapid prototyping and development by automating the entire application generation process.

Backstory

The idea for Autod emerged from the frustration of spending weeks on boilerplate code and repetitive setup tasks. I wanted to create a tool that could understand user intent and generate complete applications with proper architecture, authentication, database schemas, and deployment configurations.

Product & UX

  • Natural Language Interface: Users describe their app idea in plain English, and Autod generates the complete application structure.
  • Real-time Generation: Live preview of generated code with instant feedback and iteration capabilities.
  • Production Ready: Generated apps include authentication, database schemas, API routes, and deployment configurations.
  • Template Library: Pre-built templates for common application patterns (e-commerce, SaaS, blogs, etc.).

Architecture

  • Frontend: Next.js 14 with React Server Components for optimal performance and SEO.
  • API Layer: tRPC for type-safe API communication between frontend and backend.
  • Database: Prisma ORM with PostgreSQL for robust data modeling and migrations.
  • Authentication: Clerk for seamless user management and social logins.
  • Background Jobs: Inngest for reliable background processing and workflow orchestration.
  • Cloud Infrastructure: AWS ECS + RDS + CloudFront for scalable, containerized deployment.

Technical Highlights

  • AI Integration: Custom prompts and fine-tuned models for accurate code generation and understanding.
  • Containerized CI/CD: Automated deployment pipeline with Docker containers and GitHub Actions.
  • Type Safety: End-to-end TypeScript with tRPC ensuring compile-time API validation.
  • Database Migrations: Automated schema generation and migration management through Prisma.
  • Real-time Updates: WebSocket integration for live code generation progress and collaboration.

Challenges → Solutions

  • Code Quality: Implemented comprehensive linting, formatting, and testing in generated applications.
  • Scalability: Designed microservices architecture with proper separation of concerns and horizontal scaling.
  • Security: Built-in authentication, authorization, and data validation in all generated applications.
  • Performance: Optimized bundle sizes, lazy loading, and efficient database queries.

Impact

  • 99.9% Uptime: Architected ECS + RDS + CloudFront stack with containerized CI/CD maintaining high availability.
  • Rapid Development: Reduced application development time from weeks to hours for standard use cases.
  • Developer Experience: Streamlined workflow from idea to production deployment in a single platform.

What I'd improve next

  • Advanced AI Models: Integration with more sophisticated language models for better code generation.
  • Custom Templates: User-defined templates and component libraries for specialized use cases.
  • Collaboration Features: Real-time collaboration and version control for generated applications.

UPDATE: Autod is currently in active development with plans for public beta release in Q2 2025.

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