How AI Is Reshaping Software Development and How Tech Leaders Should Measure Its Impact

This article provides a practical framework for measuring AI’s impact in software engineering through three layers—adoption, throughput/process efficiency, and business outcomes—while describing how AI reshapes roles across planning, coding, testing, deployment, and operations. It urges leaders to link engineering metrics to strategic objectives, integrate telemetry end-to-end, run controlled pilots for attribution, and manage risks such as quality, security, compliance, IP, and bias. The piece also outlines ISHIR’s approach to responsible AI adoption via measurement, workflow integration, and change management to improve delivery speed, quality, and predictability.