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Engineering Metrics & Insights

February 21, 2026

Building a Metrics Framework for Human-AI Engineering Teams

A practical framework for measuring engineering performance across four pillars: velocity, quality, oversight, and team health — with AI attribution built in.

February 17, 2026

Human Oversight Metrics for Agent-Assisted Development

As AI agents take on more coding tasks, oversight becomes a safety-critical metric. Track stale PR age, review depth, and reviewer coverage to maintain control.

February 12, 2026

Cycle Time and Throughput in the Era of AI Agents

More pull requests don't mean faster delivery. Learn how to decompose cycle time in hybrid AI-human workflows and why percentiles matter more than averages.

February 7, 2026

Measuring Code Review Effectiveness When AI Writes the Code

AI-generated pull requests demand different review strategies. Learn which metrics reveal whether your team is genuinely reviewing or just rubber-stamping.

February 3, 2026

Why Engineering Metrics Need Rethinking in the AI Age

Traditional engineering metrics assumed human effort. AI-assisted development inflates output metrics, demanding a shift toward outcome-oriented measurement.