Engineering Management After the Collapse of Code Costs: A Reflection from an Engineering Director
An engineering director reflects on notes from the past year, pointing out that the cost of code production has collapsed and will not recover, but whether AI tools significantly accelerate engineering teams remains inconclusive. Management practices should be evaluated based on whether their underlying assumptions still hold: practices relying on code writing costs need reexamination, while those depending on human coordination, trust building, or correctness verification remain unchanged. Mechanical checks in correctness verification (types, tests, contracts) are being accelerated by AI, but semantic verification (business requirements, regulatory risks) still relies on human judgment, and AI self-checks cannot discover shared blind spots.
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