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Insights · Engineering Metrics

Everything on Engineering Metrics

2 insights · 2 episodes

  1. 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

  2. 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