Antigravity + Stitch Just Became UNSTOPPABLE! Build Anything FOR FREE!

Google's Anti-Gravity: A Game Changer in AI Development

Introduction to Google's Anti-Gravity

• Google's anti-gravity is a powerful, free tool that enhances access to advanced AI capabilities, including reasoning and multimodal understanding.

• It allows users to design frontends, build backends, manage databases, and automate applications efficiently without coding.

Building Full Stack Applications

• The guide focuses on creating full stack applications using anti-gravity alongside other AI tools and open-source alternatives.

• Google Stitch will be utilized for UI/UX design, while anti-gravity serves as an IDE for autonomous code generation and engineering tasks.

Backend and Deployment Solutions

• Tiger Data will provide the backend with its Agentic Postgress service, offering a customizable database solution.

• Versil will host both frontend and backend serverless functions for scalable deployment without infrastructure management.

Creating a Personal AI Search Engine

• The project aims to develop a personal AI search engine powered by Postgress with enhanced search intelligence using an open-source extension.

• This approach eliminates the need for external search systems or data syncing by leveraging Postgress directly.

Prerequisites for Development

• Users must have a Google account to access Stitch and anti-gravity; installation instructions are provided based on the operating system.

• Additional accounts needed include OP.JS for authentication, Stripe for payment processing, Tiger Data for backend hosting, and Versil for deployment.

Utilizing Google Stitch

• Google Stitch acts as an AI UI designer that can create production-ready frontends based on user descriptions of desired designs.

• Integration with MCP servers allows real-time collaboration between Stitch and anti-gravity through API keys generated in the settings tab.

Design Process with Stitch

• Users should provide detailed prompts to generate effective designs; options include selecting different models like Gemini 3 flash or providing visual references.

• After submitting prompts, Stitch iterates on designs quickly; initial iterations showcase the potential of this collaborative design process.

AI-Powered Local File Search Application Development

Overview of the AI Assistant Design

• The design focuses on creating a local AI assistant for searching files, featuring an intuitive search bar that provides answers, sources, and related queries.

• Users can iterate on the design by adding variations, regenerating results, and utilizing predictive heat maps to enhance functionality.

Implementation Planning with Anti-Gravity

• After finalizing the design, users can share or export it as a zip file to integrate with coding tools like Anti-Gravity.

• A new directory is created for saving project files; planning mode is selected in Anti-Gravity to develop an implementation plan for the AI agent.

Creating a Detailed Implementation Plan

• The user instructs the AI agent to create a strict project rule set and step-by-step implementation plan for building an AI-powered web application.

• Providing detailed descriptions of project goals and tech stack ensures that the implementation plan addresses all necessary components such as payments and database integration.

Backend Setup with Tiger Data

• The implementation plan emphasizes thorough focus on features like payment processing and database management within the search engine context.

• Users must create a free account with Tiger Data to establish backend services; configuration files can be downloaded for easy setup.

Integration of AI Coding Tools

• Tiger Data offers simple integration options through scripts that allow seamless communication between the AI agent and backend services.

• An AI-native Postgres instance enables autonomous data management tasks such as creating tables, running queries, and tracking logs directly from Anti-Gravity.

Database Interaction Capabilities

• The system allows monitoring of database interactions via an MCP-enabled connection, providing insights into service details like names and configurations.

• Successful execution of SQL scripts demonstrates live data interaction capabilities within user databases including subscriptions and documents.

Connecting Payment Systems

• To connect Stripe for payment processing, users need API keys which will facilitate integration into their applications.

• Utilizing open-source text search repositories enhances functionality by implementing BM25 ranking without needing extensive source code modifications.

Creating a Functional AI Search Engine with Postgres

Setting Up the Application

• The application is designed to create a search engine table, insert sample data, and establish a BM25 index for relevance ranking within Postgres.

• The implementation plan is executed automatically by anti-gravity, which sets up the necessary components for the app without manual intervention.

Functionality of the App

• The app has been fully developed, showcasing its ability to autonomously code and refine all components, resulting in a functional application.

• Features include a second brain functionality, a library for knowledge base uploads, light/dark mode options, and user profile configurations.

Document Analysis and AI Integration

• Users can upload documents for analysis; the app utilizes AI to summarize content quickly and allows follow-up questions about the document.

• Text search capabilities are integrated with Postgres; users can run SQL scripts that return relevant search terms ranked by relevance using BM25.

Enhancements and User Experience

• Further refinements include connecting endpoints for OAuth and Stripe gateways, enabling sign-in via GitHub or Google accounts along with payment processing integration.

• New search features allow autotyping through ghost input thanks to tiger data scripts that simulate real user queries.

Conclusion and Resources

• The entire process resulted in a fully functional AI search engine built within Postgres powered by BM25 ranking orchestrated through anti-gravity.

• Viewers are encouraged to explore links provided in the description for further resources on building full-stack AI applications using free tools.