
The sheer volume of algorithmically generated data scripts flowing through modern enterprise pipelines has reached a point where the human capacity to audit them is now the primary constraint on technical progress. While the cost of generating a first draft of code has effectively dropped to zero, data teams find themselves busier than ever, navigating a landscape where the initial










