Traditional software engineering relies on deterministic call chains, but Agent systems introduce runtime-emergent tool calls that defy this model. This article argues that we need new frameworks to manage this uncertainty, with loss functions as a critical constraint. It highlights the fundamental tension between deterministic engineering and non-deterministic AI processes, offering a fresh perspective for architects and developers. The discussion is essential for teams building robust, production-ready agents.
Explore the shift from deterministic to emergent behavior in AI agents and how loss functions can serve as a constraint mechanism.