Operations | Monitoring | ITSM | DevOps | Cloud

In this video, Kaitlin Woo, Product Manager for AI Signals at CloudZero, introduces templated reports that give a quick view into AI spend in one click. The reports tie spend back to activity classification, such as feature development, bugs, and automation for developers, and let you filter to an individual person for a full breakdown of their model mix and top activities without configuring anything. Those are details a bill never shows. CloudZero gives leaders who manage an AI budget this view across all providers, so they can tell whether a heavy user’s share of spend makes sense and how to support AI adoption.

Reviewer’s side of the story: if you didn’t read your AI-written PR comment, I’m probably not reading it either. But give me a few lines at the top in your own words and I’ll change my tune. What’s the worst AI PR description or comment you’ve had to review?

Have Kiro generate integration tests from recorded API traffic. This walkthrough uses a Java Spring Boot app calling Amazon Bedrock, with proxymock supplying recorded dependency responses. Review the testing spec, implement it, then inspect response comparisons, evaluated assertions and native OpenAPI coverage. The video uses prepared stages and saved results from two unchanged acceptance runs. Only recorded cases are tested; coverage gaps remain visible.