Monitor Claude Code adoption in your organization with Datadog's AI Agents Console

AI coding assistants, like Claude Code, are becoming essential tools in software engineering, enhancing developers' ability to write, refactor, and review code more efficiently. However, monitoring their performance and utility is crucial for ensuring they provide value. Datadog's new Claude Code Monitoring, available in the AI Agents Console, offers organizations a comprehensive view of AI agent and coding assistant usage, including performance, reliability, and cost analysis. This feature allows teams to track real-time telemetry data, analyze error rates and latency patterns, and evaluate spend and ROI efficiently. By providing detailed insights into user activity, session durations, and code change activity, the console helps platform and engineering leaders make informed decisions on AI adoption, ensuring it aligns with organizational goals and budgets. The monitoring tool also allows for the identification of anomalies in usage and spend, helping to optimize configurations for cost-efficiency without compromising developer experience.