何が起きたか: When agents improve agents

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.

なぜ重要か: When agents improve agents

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

注意点: When agents improve agents

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

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When agents improve agents

Pydantic · David Sanchez · 公開日 2026年7月31日 · 読了3分

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何が起きたか: 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.
なぜ重要か: Engineers building production AI systems need this when they want agents to iterate toward actual success rather than stopping after one attempt.
注意点: LLM judges are unreliable graders prone to position bias and self-preference; calibration against humans and careful rubric versioning are essential, not optional.

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