As RyanZAG says, all production has diseconomies of scale in unit complexity. The production process has economies of scale, meaning that churning out more units of equivalent complexity reduces the marginal cost of churning out the next unit of equivalent complexity.

Software exhibits this same economy of scale in production. Take Google's machine learning platform. They allow multiple functional teams to churn out roughly-equivalently-complex machine learning-powered widgets in less and less time. Contrast that with a startup building a single machine learning-powered widget and the marginal cost to Google is significantly lower.