Google Cloud’s SDK and client library ecosystem spans nine programming languages, hundreds of repositories, and multiple generations of specifications and tooling. The difficulty in understanding this system isn’t in any single part, but in the cognitive load required to reason about how these parts interact across languages, eras, and inherited assumptions.
In this talk, I’ll share how AI became a practical tool for making this complexity legible. We’ll look at how AI can support architectural reasoning in large, multi-language systems, where it provides real leverage, and where human expertise continues to define the critical path.
Speaker
Julie Qiu
Uber Tech Lead, Google Cloud SDK @Google, Building Client Libraries and Command Line Tools Across Different Language Ecosystems
Julie Qiu is the Uber Tech Lead for the Cloud Software Development Kit (SDK) at Google, where she builds client libraries and command line tools across different language ecosystems to interact with Google Cloud products. Previously, Julie was a tech lead on the Go Security team, where she spearheaded Go's support for vulnerability management and Go's package discovery site, pkg.go.dev. She lives in New York City, but loves to spend her time traveling the world.
