Uploaded August 2026 | Updated September 2026, 2 weeks ago
Try out the Loop Engineering Codelab → https://g.dev/cloud/loop-lab-table
Explore four common errors that every developer should watch out for when building loop engineering projects, and practical strategies to mitigate them. In this video, the team breaks down why runaway loops burn tokens, how unverified autonomy leads to confirmation bias, why vague goals cause models to fail, and when developers need to transition from single loops to multi-node graph engineering.
Tell us in the comments below if you've experienced any loop failures!
Chapters:
00:00 - Intro: What is Loop Engineering?
00:35 - Failure #1: Runaway loops
01:27 - Failure #2: Unverified autonomy
02:29 - Failure #3: Vague or uncheckable goals
03:05 - Failure #4: Complexity overflow & graph engineering
03:52 - Summary & best practices
More resources:
Loop engineering sample in ADK → https://g.dev/cloud/adk-loop-engineering
AI Builder Essentials playlist → youtube.com/playlist?list=PLUtwsPnFtFfU
Speakers: Tilde Thurium, Annie Wang
Products Mentioned: Agent Development Kit
Try out the Loop Engineering Codelab → https://g.dev/cloud/loop-lab-table
Explore four common errors that every developer should watch out for when building loop engineering projects, and practical strategies to mitigate them. In this video, the team breaks down why runaway loops burn tokens, how unverified autonomy leads to confirmation bias, why vague goals cause models to fail, and when developers need to transition from single loops to multi-node graph engineering.
Tell us in the comments below if you've experienced any loop failures!
Chapters:
00:00 - Intro: What is Loop Engineering?
00:35 - Failure #1: Runaway loops
01:27 - Failure #2: Unverified autonomy
02:29 - Failure #3: Vague or uncheckable goals
03:05 - Failure #4: Complexity overflow & graph engineering
03:52 - Summary & best practices
More resources:
Loop engineering sample in ADK → https://g.dev/cloud/adk-loop-engineering
AI Builder Essentials playlist → youtube.com/playlist?list=PLUtwsPnFtFfU
Speakers: Tilde Thurium, Annie Wang
Products Mentioned: Agent Development Kit










![Dynamic Firebase skills: Architecting agent ready codebases
Firebase agent skills → https://goo.gle/4u3McWt
[GitHub] Agent skills → https://goo.gle/42JsuEa
[Codelab] How to use AI Agent Skills → https://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
Watch more Google Cloud Next 2026 → https://goo.gle/next-talks-2026
🔔 Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech
#GoogleCloudNext
Speakers: Aja Hammerly, Rody Davis
Products Mentioned: Gemini, Google AI Studio, Antigravity, Stitch, Firebase Dynamic Firebase skills: Architecting agent ready codebases](https://i.ytimg.com/vi/urBML_2BbD8/mqdefault.jpg)