🏗️Build a Web App with AI
Step by step, how I built a complete web app with AI — and how you can too.
What you'll learn
- Plan and architect a web application with AI
- Build both frontend and backend using AI agents
- Teach AI to check and validate its own work
- Deploy to production on Vercel and a VPS
- Master iterative development with continuous QA testing
- Implement authentication (OAuth) and payments with mock and real gateways
- Orchestrate a team of AI agents for parallel development
Who this is for
Anyone who wants to build a web application with AI assistance. Basic tech awareness helps, but coding experience is not required.
Prerequisites
Syllabus
From Idea to Architecture
Start with a problem, not a technology — let AI propose your project architecture and tech stack.
Setting Up the Project
Let AI scaffold your frontend and backend, set up git, and get a running dev environment in under an hour.
Building the Frontend
Describe pages in natural language and get production-ready React components with Tailwind CSS.
Building the Backend
Django models, REST API endpoints, social auth, and payment integration — all built by AI.
Teaching AI to Validate Its Own Work
The most important lesson: build, test, lint, type-check — never trust AI code that has not been executed.
Visual QA: The Missing Piece
Tests pass but the page looks broken — why visual testing matters more than unit tests for web apps.
Security: What AI Gets Wrong
AI-generated code has 2.74x more vulnerabilities — learn to catch and fix the security mistakes AI makes.
Deploying to Production
Frontend on Vercel, backend on a EUR 3.49 VPS with Kubernetes — the complete deployment pipeline.
Iterating and Maintaining
The app is never done — how to keep improving with AI agents, parallel workflows, and continuous deployment.
Backend Deep Dive: Models, Admin, and API
A deep dive into the Django backend — from data models through the admin panel to clean API endpoints. All with Claude Code.
Authentication and Payments
Social login via Google and LinkedIn, paywall for paid content, and payment gateway — complete purchase flow with AI.
AI Agents as a Team
How PraktickAI was actually built — architect, developer, reviewer, and QA agents working in parallel. The future of development.