Moving past basic AI prototypes requires deliberate planning. In this episode of Build It, you’ll shift from "vibe coding" to a more spec-driven approach to define a smart fitness app’s data architecture using only natural language.
As an added bonus, you’ll learn to create and use a custom agent to walk you through the entire process, even teaching you along the way!
Join us as we use Google Antigravity and work alongside an AI planning companion to design a robust, production-grade backend architecture for use in Cloud Firestore.
Chapters:
0:00 – Intro and app overview
02:24 – Creating a custom spec writing agent
03:31 – Designing workout and exercise structures
07:12 – Structuring weekly plans in Firestore
10:40 – Refining agent endpoints and chat integration
16:27 – User profiles and tiered memory architecture
22:09 – Conclusion and summary
For more builder resources, including prompts used in this video, visit Builder Central → https://g.dev/ai/build-it-2
Watch more Build It → https://g.dev/youtube/build-it-series
🔔 Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech
#AIEngineering #SoftwareArchitecture #CloudFirestore #GeminiAI #AppDevelopment #VibeCoding #BuildIt #Antigravity #NoCode
Speaker: Devin Chasanoff
Products Mentioned: Cloud Firestore, Google AI Studio, Google Anti-Gravity, Gemini
