Build and deploy a full-stack app in under one hour with AI (advanced tutorial) скачать в хорошем качестве

Build and deploy a full-stack app in under one hour with AI (advanced tutorial)

This video is sponsored by Sansa. Learn more about Sensa here: https://sansatech.com/ Learn how to build and deploy a complete DocuSign clone using AI-assisted development tools. In this hands-on tutorial, I'll walk you through the entire process, from initial prototype to production-ready application, using Google AI Studio, Cursor, Supabase, and Vercel. We start by rapidly prototyping in AI Studio (free), then sync to GitHub and add user authentication, a backend database, and deploy it live. You'll see the real workflow including debugging and iteration. Watch another full build and deploy tutorial here:    • Ship a deployed app in 30 Mins (Google AI ...   Learn more about Cursor here:    • Learn Cursor: follow this tutorial to buil...   WHAT YOU WILL LEARN: AI-Assisted Development: Build functional prototypes with Google AI Studio for free Work with different AI models (Gemini 3 Pro, Claude Opus 4.5, Cursor's Composer) Iterate and debug effectively with AI assistants Full-Stack Implementation: Set up user authentication and database with Supabase Create database schemas and manage migrations Implement row-level security (RLS) policies Build document upload, signature workflows, and multi-user signing processes Developer Workflow: Sync code between AI Studio, GitHub, and Cursor Use terminal commands (npm, git) and manage environment variables Test locally and configure Model Context Protocol (MCP) Deployment: Deploy to production with Vercel Set up automatic deployments on code changes Create live, accessible URLs for your applications By the end, you'll understand the complete workflow for building production-ready SaaS applications with AI tools, and you'll have a deployed app to show for it. Chapters: 00:00 Introduction to Building a DocuSign Clone with AI 00:55 Creating the MVP in Google's AI Studio 02:15 Iterating and Testing the Prototype 10:57 Syncing to GitHub and Preparing for Production 19:23 Setting Up Supabase API and Keys 20:29 Running Database Migration and Enabling Email Auth 22:44 Debugging and Testing User Authentication 32:19 Deploying the App on Vercel