Architecting With AI: From Requirements to Reality

This session focuses on employing AI as a partner to architects throughout the architectural process. Rather than replacing architects, AI expands their exploration of possibilities, specifically in clarifying ambiguous requirements, generating and evaluating design options, and assessing assumptions to avoid costly errors.

We will walk through an end-to-end example demonstrating how AI can highlight hidden constraints, uncover risks early, and broaden the problem space to support architectural decisions. The session will also address where AI falls short (hallucinating APIs, inventing constraints, shallow reasoning) and offer targeted techniques for directing AI toward useful, constraint-aware analysis and transparent trade-off justifications.

The session concludes with a practical review workflow. You will learn to check and correct AI’s mistakes, enforce your requirements, and formalize AI-generated concepts into lasting architectural documents such as ADRs and decision logs. You will leave with an actionable workflow for collaborating responsibly with AI throughout the architectural process.