Agentic SDLC: after the operating model, the measurement challenge
Summary
This article examines the challenge of measuring the real impact of agentic SDLC after organizations have moved beyond the initial operating model discussions. It argues that companies should stop focusing only on individual developer productivity and instead measure adoption, operational performance, and business value at the team and organization level. The piece recommends a pragmatic KPI framework built around tool adoption, DORA-style delivery metrics, and perceived time saved by teams. It also warns that companies should measure adoption before trying to prove productivity gains. The main takeaway is that durable success with agentic SDLC depends on continuous measurement and adjustment, not just tool deployment.
Classifications
industries
No industries detected
applications
No applications detected
AskAI Classifications
Labels
No AI classifications detected