Have a great idea, but don't want to deal with complex infrastructure? Learn how to rapidly prototype full-stack web applications using Google AI Studio. In this beginner-friendly workshop, we will explore "vibe coding," generate a functional app using natural language, and deploy it to Google Cloud Run in a single click—no credit card required.
41 RSVP'd
Stop configuring and start building.
The hardest part of any new project is getting the initial infrastructure off the ground. In the second session of our Google I/O Extended series, we are taking the friction out of development. We will explore the latest updates to Google AI Studio, focusing on how to use AI to write, test, and ship your ideas instantly.
Whether you are writing your first lines of code or you are a seasoned cloud engineer looking to rapidly prototype a new architecture, this session will show you how to leverage AI to handle the boilerplate so you can focus on the core logic. You will walk away having built and deployed a live, shareable application on Google Cloud.
What We Will Cover:
Prompt Engineering in Build Mode: Learn how to use natural language prompts in Google AI Studio to generate a complete React frontend and Node.js backend.
Seamless Database Integration: See how AI Studio intelligently provisions Firebase Auth, Firestore, or Cloud SQL for PostgreSQL to handle your app's data layer automatically.
The Google Cloud Starter Tier: Discover how to deploy your first two applications to a fully managed Cloud Run environment completely free, without needing a billing account.
Scaling Up: Discuss how to smoothly transition your prototype to a standard Google Cloud project when it is ready for production traffic.
Event Agenda:
00:00 - 00:15 | Introduction to AI Studio: Navigating Build Mode and setting up our first prompt.
00:15 - 00:35 | Live Vibe Coding: Generating a functional, full-stack application together.
00:35 - 00:50 | One-Click Deployment: Publishing the app to Cloud Run and setting up Firebase Auth.
00:50 - 01:00 | Wrap-up & Q&A: Sharing live URLs and discussing next steps for your projects.
Prerequisites:
A laptop with a modern web browser.
A personal Google Account (work or school accounts may have restrictions that prevent enabling the necessary APIs).
No prior Google Cloud experience or credit card is required!
Data Scientist
Mbarara University of Science and Technology
IT Professional|GDG Cloud Organizer|WTM Ambassador
GDG Cloud Co-Organizer | Data Scientist
Computer Scientist |WTM-Programs Lead
Cloud Engineer | Programs Lead
MacZ.tech
Computer Technician | Programs Lead
Software Engineer | Logistics Lead
Data Analyst | Branding Lead
MUST
Software Engineer |Partnerships & Sponsorship Lead
WTM - Strategic Partnerships Lead
Software Engineer | Media & Communications Lead
IT
IT Personel|WTM - Media & Communications Lead
Software Engineer|WTM-Media & Communications Lead