发生了什么: 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.

为何重要: 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: 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.

新闻

When agents improve agents

Pydantic · David Sanchez · 发布于 2026年7月31日 · 阅读约3分钟

30秒读懂

发生了什么: 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.
为何重要: Engineers building production AI systems need this when they want agents to iterate toward actual success rather than stopping after one attempt.
注意: 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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agent

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Agentic Context Engineering (Evolving Playbook)
Plan & TODO Recitation
Self-Improving Systems

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The Agent Architect

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