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AI-driven software development is shifting from a focus on individual coding output to a strategic resource allocation challenge, where the primary goal is maximizing business outcomes rather than just shipping features. As AI agents become integral to engineering workflows, the most effective organizations will treat their teams like professional athletes, prioritizing high-leverage decision-making over manual tasks. While frontier models currently dominate, the rise of open-source alternatives provides a necessary counterbalance, allowing companies to optimize for cost, speed, and quality based on specific task requirements. Ultimately, the future of engineering favors "polymaths"—individuals who possess broad systemic understanding and agency—rather than those focused solely on narrow technical credentials. This evolution necessitates a shift in organizational structure, where engineers increasingly build the "factories" that produce software, rather than manually writing every line of code themselves.