---
format: "aidr-story-markdown/v1"
id: "892e84ca9d3fb42a2762237774fdc4849cb0d4fb6796f1076dbdab0d3e41956f"
canonical_url: "https://aidr.today/892e84ca?lang=en"
title: "Hill-Climbing Agent Quality with Agents CLI Evaluation"
lang: "en"
requested_lang: "en"
available_langs: ["en","vi"]
translation_fallback: null
fallback_fields: []
published_at: "2026-10-28T17:56:00.000Z"
category: "Tools"
topics: ["google","agent","devtools"]
source_urls: ["https://developers.googleblog.com/hill-climbing-agent-quality-with-agents-cli-evaluation/"]
summary: "The post describes using the Agents CLI evaluation loop to improve agent performance through continuous testing, grading, prompt regression detection, model backend comparisons, and automated nightly runs with threshold-based alerting."
---

# Hill\-Climbing Agent Quality with Agents CLI Evaluation

> [Open the canonical story](<https://aidr.today/892e84ca?lang=en>)

**Published:** 2026-10-28T17:56:00.000Z
**Category:** Tools
**Topics:** google, agent, devtools

## Summary

The post describes using the Agents CLI evaluation loop to improve agent performance through continuous testing, grading, prompt regression detection, model backend comparisons, and automated nightly runs with threshold\-based alerting\.

## Sources

- [Story source](<https://developers.googleblog.com/hill-climbing-agent-quality-with-agents-cli-evaluation/>)