Measure the return on your AI investment.

Measure the return on your AI investment.

Know exactly what you're spending on AI tooling, how it maps to usage, and whether that investment is translating into real productivity gains.

Know exactly what you're spending on AI tooling, how it maps to usage, and whether that investment is translating into real productivity gains.

What Engineering Analytics covers

Three signals that connect production incidents back to the code that caused them.

Three signals that connect production incidents back to the code that caused them.

Per-user cost attribution

Weave tracks per-user costs for Amazon Q, Claude Code, Cline, Cursor, Firebender, Sourcegraph, and Windsurf. For tools without per-user tracking, costs are calculated at the org level.

Impact metrics

Connect AI spend to actual engineering output. See what portion of output is AI-assisted, how AI usage correlates with productivity, and where you're getting real efficiency gains versus where you're just adding cost.

Cost tracking

Track subscription costs across every AI coding tool your org uses. See monthly spend per tool, cost per active user, and how spending trends over time. Configure your subscriptions once in Weave settings and cost analysis updates automatically.

Usage patterns

See who's actively using AI tools, which tools are most adopted, and how adoption is changing over time. Break it down by team, tool, and individual.

Cross-reference AI spend with output and adoption data in one view.

Know whether your investment is working, and where to adjust.