Control and governing your coding agents with LLMOps

Coding agents like Claude Code, Codex, and Gemini CLI are transforming how software gets built, but without observability they remain a black box. This talk shows how to take control of your coding agents using MLflow. We cover tracing agent sessions to understand token usage and tool calls, evaluating output quality with LLM judges and custom scorers, routing LLM traffic through AI Gateway for cost control, and automating workflows with MCP and skills. Walk away with practical techniques to monitor, measure, and maximize your coding agent investment.