As code generation becomes increasingly automated, our role as developers and architects is evolving. The challenge ahead isn’t how to get AI to write more code, it’s how to guide it toward coherent, maintainable, and purposeful systems. In this session, Michael Carducci reframes software architecture for the era of intelligent agents. You’ll learn how architectural constraints, composition, and trade-offs provide the compass for orchestrating AI tools effectively. Using the principles of constraint-driven architecture, Carducci introduces practical mental models to help you think architecturally, communicate intent clearly to your agents, and prevent automation from accelerating entropy. This talk reveals how the enduring discipline of architecture becomes the key to harnessing AI—not by replacing human creativity, but by amplifying it.


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