Using AI as a Thinking Partner for Large-Scale Engineering Systems

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.