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developers.googleblog.com — Learn how to hill-climb agent quality using the Agents CLI eval loop, from initial…

developers.googleblog.com is Learn how to hill-climb agent quality using the Agents CLI eval loop, from initial baseline runs and regression tracking to model swaps and automated alerts.. It is ranked #672 on the Dev Radar, in AI dev tools, first seen 2 h ago and shared in 1 post (370 views).

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Hill-Climbing Agent Quality with Agents CLI Evaluation - Google Developers Blog Search Hill-Climbing Agent Quality with Agents CLI Evaluation OCT. 28, 2026 Pier Paolo Ippolito Product Manager Elia Secchi Solutions Specialist Share Facebook Twitter LinkedIn Mail A live walkthrough of the Agents CLI eval loop, from a first run to regression tracking, model-backend experiments, and automated alerting Introduction Building an agent that works on a demo is a different problem from building an agent that stays working across model upgrades, tool changes, and new conversation shapes. The first takes a weekend; the second takes a loop. A team…

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Build the agent, test the agent, grade the results, change the agent, run the test cases again. Keep the change if better, revert if not. This is hill-climbing. Here's a good post that walks through those steps, and what we've learned about each one.…

— @rseroter, 2 h ago · 3 likes · see the post

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Learn how to hill-climb agent quality using the Agents CLI eval loop, from initial baseline runs and regression tracking to model swaps and automated alerts. It was first shared on X 2 h ago and is ranked #672 on the Dev Radar.

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1 account on X, including @rseroter, in 1 post totalling 370 views.

Every post is read and classified by AGK Intelligence: what it is, which market it belongs to, and whether the link is a real tool. 31.2k posts from 5k X accounts over the last 21 days, 8.8k tools, 12 markets. New posts are collected several times an hour and the full ranking is recomputed every hour — last update 2026-10-30 20:27 UTC. Full method.