Join us for a first look at the future of development: agentic coding. In this stream, we explore how the new Gemini CLI, combined with the Firebase MCP Server and the Firebase Extension, supercharges your AI agent. See how it gets the tools and context it needs to *actually* understand, build, and manage a Firebase app right from your terminal.
🚀 In this stream
01:27 - Welcome & Introduction
05:01 - Icebreaker: Favorite Desserts
07:50 - What is the Gemini CLI?
08:40 - Why use the Command Line for AI?
11:18 - Live Demo: Starting a React App
13:52 - Gemini CLI Extension for Firebase
14:43 - How the Firebase Extension Works (MCP Server)
16:18 - Demo: `firebase init` with AI Logic
22:13 - Demo: Building the Halloween Costume App
25:12 - Demo: First Run & Debugging
26:01 - Demo: Asking Gemini to Fix the Bug
28:06 - Demo: It Works! (Banana Costume)
28:51 - Demo: Adding a Spinner
29:15 - Other Firebase Integrations (Firestore, Auth)
30:10 - Using MCP Server for Admin Tasks
34:32 - "YOLO Mode" (`--yolo` flag)
37:33 - Importance of planning with Gemini
39:46 - Tip: Asking Gemini to interview you
40:57 - How to undo changes (Checkpoints)
45:42 - What is "Jules"? (Autonomous Coding Agent)
50:35 - Q&A: Why isn't Gemini offline?
53:04 - Q&A: Dealing with inconsistency
56:07 - Q&A: Managing API credit costs
01:03:33 - How to file feature requests (User Voice)
01:06:31 - Wrap-up
#Firebase #Gemini #GeminiCLI #AgenticCoding #AI #ArtificialIntelligence #AppDevelopment #Developer #React #Goo
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