Agents are everywhere; visibility isn’t. Engineering organizations are adopting coding agents such as GitHub Copilot, Claude Code, opencode, Codex, and Cursor, often across multiple teams at once. As adoption spreads, platform and engineering leaders need to understand who is using these agents, whether they are helping teams ship better software, and how spend relates to the work being done.
Datadog Agent Console, available in Preview, gives you a unified view of agent activity across coding agents and Datadog’s own Bits AI agents. Agent Console helps you answer three practical questions:
Who in my organization is using coding agents the most?What are users doing well with agents and where are they struggling? How does AI spend correlate with engineering output?
It also goes beyond visibility by detecting waste patterns and helping teams apply vetted fixes directly to affected repositories. In this post, we’ll show how Agent Console helps you:
Get a real-time overview of agent activity across your organizationMeasure adoption, engagement, and engineering impactTrack spend and measure ROIDetect and fix common waste patterns
