Your Team is Using Claude Code. Do You Know What It’s Costing You?
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Claude Code emits native OpenTelemetry telemetry covering token usage, model costs, tool calls, and code impact signals, but lacks a built-in destination or dashboard. Coralogix integrates directly with Claude Code's OTLP exporter to stream this data into existing observability pipelines in real time. Key signals include token usage broken down by type, code impact metrics (lines added, commits, PRs) correlated with compute spend, and active processing time versus developer review time. This gives engineering and platform teams visibility into who is driving AI costs, which models are being used, and whether spend translates into meaningful output — turning reactive monthly billing surprises into proactive, data-driven decisions.
Table of contents
Claude Code already emits the data. Coralogix makes it usable.Three signals that change how you think about AI coding costsWhat this looks like in practiceThe instrument panel you should have had from day oneSort: