James Shore proposes randomized tests for AI delivery speed

The author argues that measuring artificial intelligence's impact on software delivery speed requires rigorous methodology rather than relying on unreliable metrics like lines of code, story points, or uncalibrated estimates. To accurately isolate the effect of AI, the author recommends conducting a randomized controlled trial that compares teams or individuals against themselves using interleaved with-AI and without-AI tasks. Open article →