Monitor agent adoption with Datadog Agent Console
Blog post from Datadog
Agent Console, currently available in preview from Datadog, provides engineering organizations with a comprehensive view of AI coding agent activities across platforms like GitHub Copilot, Claude Code, and others. This tool allows leaders to track who is using these agents, how effectively they enhance software development, and how AI expenditure correlates with engineering output. It features real-time telemetry data, enabling leaders to monitor adoption trends, spending patterns, and the overall impact on software delivery. Additionally, Agent Console helps detect and rectify common inefficiencies such as skipped checks and retry loops by offering vetted remediation strategies. Through detailed analytics focused on adoption, velocity, and stability, the console provides insights into productive usage versus inefficient workflows, thereby assisting leaders in making informed decisions regarding AI agent integration and utilization across teams.