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תקציר מקורי באנגליתImproving an agent used to mean a human reading traces every week. Now agents can do most of that loop for you. Marc Klingen, co-founder of Langfuse, shows how teams are moving from manually improving their agents to letting AI run the improvement loop. He explains the reference stack that emerged for building agents, which connects online tracing and monitoring with offline datasets, experiments and evals, and maps the layers of loops from next-token prediction up to human goal-setting. AI is already good at proposing fixes, and teams are starting to use it to maintain datasets and eval criteria too, while humans stay in charge of direction. In a demo, a coding agent uses Langfuse's agent skills to find that Langfuse's own changelog writer leaks internal jargon, updates the evals, and bac