Architecture Still Matters: Multidisciplinary Development with AI

As AI-assisted development becomes more common, teams are discovering new challenges around consistency, quality, and control. This session explores how structured development practices—such as architecture, testing, and evaluation frameworks—can be applied to AI workflows to improve reliability and outcomes. Through a practical experiment comparing different approaches, we’ll highlight patterns that help teams move beyond ad hoc prompting toward more scalable, repeatable development processes.