Uploaded July 2026 | Updated September 2026, 2 weeks ago
Learn to scale "vibe-coded" prototypes into production-ready apps. See how Google AI Studio automates backends with Cloud SQL and Firestore for real-time data.
In this video, the team bridges the "day 2" gap by showing developers how to transition their static prototypes into persistent, enterprise-grade architectures. Learn how to leverage Google AI Studio to autonomously configure database schemas, manage connection strings, and eliminate backend boilerplate, allowing developers to focus on core application logic. The team dives into the technical nuances of choosing between relational (Cloud SQL) and NoSQL (Firestore) databases for AI-generated applications, and demonstrate how to manage user authentication and secure API secrets within an agent-led workflow. Finally, see how to deploy high-performance, full-stack applications at no cost using the Google Cloud Starter Tier.
Resources:
Get started with Google AI Studio → https://goo.gle/3R9bSTQ
What is vibe coding? → https://goo.gle/3RlRoaJ
Full-stack vibe coding guide → https://goo.gle/4bxxyA1
Cloud SQL for PostgreSQL documentation → https://goo.gle/4aHP1pa
Firestore overview → https://goo.gle/3SPMvXU
🚀 *Try this in the Google Cloud Console:*
* Build your first AI-powered app today with no billing required → https://goo.gle/3R9bSTQ
This livestream originally aired on July 7, 2026 at 9:00 A.M. PDT / 12:00 P.M. EDT.
#GoogleCloud #AIStudio #Firestore #CloudSQL #VibeCoding
Speakers: Tilde Thurium, Billy Jacobson
Products Mentioned: Google AI Studio, CloudSQL, Firestore
Learn to scale "vibe-coded" prototypes into production-ready apps. See how Google AI Studio automates backends with Cloud SQL and Firestore for real-time data.
In this video, the team bridges the "day 2" gap by showing developers how to transition their static prototypes into persistent, enterprise-grade architectures. Learn how to leverage Google AI Studio to autonomously configure database schemas, manage connection strings, and eliminate backend boilerplate, allowing developers to focus on core application logic. The team dives into the technical nuances of choosing between relational (Cloud SQL) and NoSQL (Firestore) databases for AI-generated applications, and demonstrate how to manage user authentication and secure API secrets within an agent-led workflow. Finally, see how to deploy high-performance, full-stack applications at no cost using the Google Cloud Starter Tier.
Resources:
Get started with Google AI Studio → https://goo.gle/3R9bSTQ
What is vibe coding? → https://goo.gle/3RlRoaJ
Full-stack vibe coding guide → https://goo.gle/4bxxyA1
Cloud SQL for PostgreSQL documentation → https://goo.gle/4aHP1pa
Firestore overview → https://goo.gle/3SPMvXU
🚀 *Try this in the Google Cloud Console:*
* Build your first AI-powered app today with no billing required → https://goo.gle/3R9bSTQ
This livestream originally aired on July 7, 2026 at 9:00 A.M. PDT / 12:00 P.M. EDT.
#GoogleCloud #AIStudio #Firestore #CloudSQL #VibeCoding
Speakers: Tilde Thurium, Billy Jacobson
Products Mentioned: Google AI Studio, CloudSQL, Firestore
