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Architecting with AI: From Requirements to Reality
AI is reshaping architectural work not by replacing architects, but by expanding the space of possibilities they can explore. This session shows how to use AI as a thinking partner across the architectural lifecycle: clarifying ambiguous requirements, generating and comparing design options, and stress‑testing assumptions before they become costly mistakes.
Through a focused, end‑to‑end walkthrough, you’ll see how AI helps surface hidden constraints, uncover risks early, and broaden the problem space in ways that accelerate human insight. You’ll also see where AI fails, hallucinated APIs, invented constraints, shallow reasoning, and learn practical techniques for steering AI toward constraint‑aware analysis and forcing it to justify trade‑offs.
The session closes with a human‑centered review loop: how to correct AI’s errors, enforce constraints, and convert AI‑generated ideas into durable architectural artifacts such as ADRs and decision logs. You leave with a workflow you can apply immediately: clarify with AI, explore with AI, and codify with human judgment to architect responsibly in an AI‑accelerated world.