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AI amplifies existing organizational quality — accelerating high-performing teams and worsening dysfunction in struggling ones. Drawing on data from 250,000+ developers and case studies from Linear, Cursor, Vercel, Stripe, and Resend, the key differentiators are taste (knowing what to build), discipline (specs, tests, structured review), and leverage (small senior teams, stacked PRs, agent orchestration). Emerging practices include Spec-Driven Development, AGENTS.md for guiding AI agents, vertical slice architecture for AI-friendliness, design engineers eliminating design-dev handoffs, cycle time over story points, and tiered code rigor distinguishing disposable from durable code. Senior engineers realize nearly 5x the AI productivity gains of juniors, and revenue per engineer at lean AI-native startups averages $3.48M versus $610K at traditional SaaS companies.