Reevaluating Engineering Management Practices in the Era of AI-Driven Code Production

The article examines how the declining cost of code production due to AI tools is forcing a reevaluation of traditional engineering management practices, emphasizing the need to audit underlying assumptions and shift from code volume metrics to business outcomes. It highlights the strategic importance of investing in machine-checkable specifications to manage verification workloads in an AI-driven development environment.

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