How to use the new Agents CLI to bridge the gap between AI POCs and production-ready systems on Google Cloud. The Problem As a Cloud GDE, I was recently granted early access to an unreleased Google tool to test before its official launch. I decided to spend a couple of hours this Sunday having some fun putting it through its paces, specifically looking at how it handles the most painful bottleneck in AI engineering today: graduating from a prototype to production. If you've been working with agentic AI recently, you already know the story. Building a simple standalone Python script that calls an LLM is easy. But what happens when you need to take that Proof of Concept (POC) into a production environment? Suddenly, you are wrestling with Terraform scripts, spinning up CI/CD pipelines, configuring Secret Management, and writing evaluation harnesses so you don't push hallucinating agents into production.…