How to build an agentic self improvement loop

Why watch

A practical tutorial showing developers how to build an automated self-improvement loop for AI agents using four steps: aggregating team conversations, scoring runs with LLM-as-a-judge, isolating failures, and having agents suggest improvements to skills and code architecture. Designed for developers building AI-powered applications who want to implement continuous agent optimization.