EDD: The Science of Improving AI Agents

Talk on Eval-Driven Development as the scientific method applied to AI agents: iterating with quantitative and qualitative evals instead of vibe checks, using LLMs as proxies for human judgment, building a data flywheel for judge alignment, choosing metrics, and closing feedback loops from production to catch long-tail failures.