From vibe-code to production
summary
Prototype converts to deployable app: Google AI Studio wires a backend to Cloud SQL (Postgres) or Firestore, auto-creates schemas and connection strings, and configures Firebase Auth so the demo game stores scores in a Firestore leaderboard and uses Login with Google. Live build shows an ice-cream scooping game, a mint-scoop unlock, and a working high-score table after ~30 minutes of agent-driven edits; Firestore free quotas and Cloud SQL dev tier (scale-to-0) make testing low-cost.
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chapters (9)
- 0:00Introduction to vibe-coding and enterprise deployment
- 2:15Demos versus production
- 4:49Databases for production apps
- 14:53Cloud SQL for Postgres benefits
- 18:13Cost management in GCP
- 22:08Live demo setup
- 36:11Debugging the app
- 47:04Adding features and DB
- 59:22Closing and Q&A
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