AI Increased Your Output. It Also Increased Your Variance.

When teams adopt AI coding tools like Claude Code, output increases but so does variance — each developer uses the tool differently, leading to inconsistent code structure, fragmented learning, and skewed performance perceptions. The author argues that engineering leaders must treat AI usage conventions like a style guide (e.g., a versioned CLAUDE.md or AGENTS.md), establishing shared baselines rather than letting each developer run their own experiment. Without deliberate alignment, teams end up scaling their inconsistencies instead of their capabilities.