Turning Code Observability into an Autonomous Search Space for Agents

By transforming execution graphs into a tunable search space, this method allows coding agents to move beyond basic script generation toward systematic performance tuning. This integration of Etiq and SMAC demonstrates how observability data can be repurposed to enable agents to autonomously refine and optimize their own outputs.