Overview
This tutorial demonstrates how to build a complete full-stack AI application using Google’s Anti-gravity IDE and Stitch UI designer. The creator builds a production-grade AI search engine powered entirely by PostgreSQL without writing any code, showcasing how AI agents can now autonomously handle frontend design, backend development, database management, and deployment.
Key Takeaways
- AI agents can now autonomously handle entire full-stack development workflows - from designing UIs to managing databases and deploying applications without manual coding
- Modern AI development tools enable direct database integration for advanced search capabilities using extensions like BM25 ranking without external search systems or data syncing
- Implementation planning is crucial for AI agents - providing detailed project specifications and tech stack requirements ensures the agent follows through on all desired features systematically
- MCP (Model Control Protocol) connections between AI tools create powerful automation pipelines where design tools can directly communicate with development environments for seamless iteration
Topics Covered
- 0:00 - Introduction to Anti-gravity and Stitch: Overview of Google’s free AI development tools and their capabilities for full-stack development
- 2:00 - Project Demo - AI Search Engine: Introduction to building a PostgreSQL-powered AI search engine with BM25 ranking
- 3:00 - Prerequisites and Setup: Required accounts and tools including Google, Stripe, Tiger Data, and Vercel
- 4:00 - UI Design with Stitch: Creating frontend designs using Stitch AI designer and MCP integration setup
- 7:00 - Anti-gravity Implementation Planning: Creating detailed project plans for AI agents to follow during development
- 8:30 - Backend Setup with Tiger Data: Configuring PostgreSQL database with AI-native features and MCP connections
- 11:00 - Search Engine Integration: Implementing BM25 text search extension directly in PostgreSQL
- 12:30 - Full Application Demo: Showcasing the completed AI search engine with authentication, payments, and search functionality
- 15:00 - Final Results and Conclusion: Review of the production-grade application built entirely with AI tools