When agents improve agents

In 30 Sekunden

Was passiert ist

Pydantic AI adds self-improving loops where agents check their own work, remember past runs, and keep going until goals are met, not just until plans run out.

Warum es zählt

Engineers building production AI systems need this when they want agents to iterate toward actual success rather than stopping after one attempt.

Achtung

LLM judges are unreliable graders prone to position bias and self-preference; calibration against humans and careful rubric versioning are essential, not optional.