Measuring AI's unintended consequences on maintainability, burnout, and lock-in
AIJames Shore's Successful Software blog, republished on O'Reilly Radar, argues that AI's unintended consequences such as harder-to-maintain code, burnout, and token-cost lock-in have real economic impact. The article proposes cost of change as the central measure, tracked through value-add percentage, DORA metrics, and token usage.
Source details
O'Reilly Radar · James Shore · oreilly.comPublished
Original title: Measuring AI’s Unintended Consequences