Insights · Engineering Metrics
Everything on Engineering Metrics
2 insights · 2 episodes
-
Productivity metrics must shift from code generation volume to feature delivery and business impact. Counting PRs is insufficient because AI can generate large volumes of low-value code.
Impact: Aligns engineering efforts with business goals and provides clearer ROI for AI tool investments.
— from Securing Agentic Workflows: 1Password's Zero-Trust Strategy · Dev Interrupted· Aug 25, 2026
-
Traditional developer productivity metrics like PR throughput and time saved fail in agentic environments because activity volume no longer correlates with commercial value.
Impact: Prevents misallocation of AI budgets and aligns engineering output with executive revenue expectations.
— from Measuring AI ROI: Uber’s Shift from Code Output to Feature Velocity · Engineering Enablement by DX· Jun 22, 2026