Observability for Claude Code: Measuring the Impact of AI Coding Assistants

AI coding assistants like Claude Code are transforming development workflows, but measuring their impact remains a challenge. This post details how to build an observability pipeline using OpenTelemetry and SigNoz to gain actionable insights into Claude Code usage. By tracking metrics like token consumption, sessions, requests, and performance trends, teams can understand how Claude shapes workflows, identify issues proactively, and make data-driven decisions about scaling AI-assisted coding. The authors demonstrate how to connect Claude Code's monitoring hooks, visualize data in SigNoz dashboards, and ultimately transform Claude Code from a black box into a measurable contributor to developer productivity.
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