Dynamic Firebase skills: Architecting agent ready codebases

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BigQuery Graph in 5'
Опубликовано 19 мая 2026, 16:00
Firebase agent skills → goo.gle/4u3McWt
[GitHub] Agent skills → goo.gle/42JsuEa
[Codelab] How to use AI Agent Skills → goo.gle/4umgrbO

Watch along and hear Rody Davis break down how to architect existing, real world codebases for agentic development. Discover how to implement client side Firebase skills using Firestore to create sandbox contexts, maximize LLM efficiency with agent optimized context.md directory readmes, and manage complex monorepos through interconnected AI agent structures. Whether you are using Antigravity for backend workflows or tools like Stitch and Google AI Studio to accelerate your MVP design phase, discover how optimizing code health and architectural patterns can massively supercharge your AI assisted engineering velocity.

Chapters:
0:00 - Intro
0:37 - Shipping skills with Firebase
2:25 - Preparing codebases for agentic AI
3:51 - Tips and tricks for using Antigravity
5:33 - How to get started with agentic AI and vibecoding
7:13 - Wrap up

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Speakers: Aja Hammerly, Rody Davis
Products Mentioned: Gemini, Google AI Studio, Antigravity, Stitch, Firebase
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