Stanford researcher shares insights from large-scale studies on developer output, why early AI productivity claims were overstated, and what engineering leaders should (and shouldn’t) measure when rolling out AI across the software development lifecycle.
Stanford researcher shares insights from large-scale studies on developer output, why early AI productivity claims were overstated, and what engineering leaders should (and shouldn’t) measure when rolling out AI across the software development lifecycle.