---
id: 20260624-T0-03
title: "Replit发布Agent大规模评估与改进方案"
title_en: "Replit Publishes Architecture for Evaluating and Improving Agents at Scale"
url: https://ai.daily.yangsir.net/daily/20260624-T0-03
issue_date: 2026-06-24
publish_date: 2026-06-23T20:22:20.000Z
category: insight
source_name: "Replit Blog"
source_url: https://replit.com/blog/evaluating-and-improving-agent-at-scale
---

# Replit发布Agent大规模评估与改进方案

Replit分享了其Agent的大规模评估与改进策略。大多数用户仅凭自然语言描述想法，希望Agent将其转化为可运行的网站、移动应用或幻灯片。Replit通过构建闭环评估系统，确保Agent能在没有代码库和测试套件的前提下，准确理解用户意图并交付高质量的连接制品。

## English Version

**Replit Publishes Architecture for Evaluating and Improving Agents at Scale**

Replit published details on how it evaluates and improves its Replit Agent at scale. Most users start with just a natural language idea and expect the agent to deliver functioning apps—ranging from websites to mobile apps—without repos or test suites. Replit's closed-loop evaluation system ensures the agent accurately interprets intent and delivers high-quality artifacts.

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**来源**：[Replit Blog](https://replit.com/blog/evaluating-and-improving-agent-at-scale)

**详情页**：https://ai.daily.yangsir.net/daily/20260624-T0-03

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