4 ways loop engineering fails (and how to fix them)

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 → https://www.youtube.com/playlist?list=PLUtwsPnFtFfU

Speakers: Tilde Thurium, Annie Wang
Products Mentioned: Agent Development Kit