# Google Cloud — Four evaluation engineering lessons learned from building agent plugins

- Company: Google Cloud (cloud.google.com)
- Announced: 2026-10-16T16:00:00+00:00
- Category: not stated
- Coverage: not counted
- Announcement: no
- Group: routine
- Source: https://cloud.google.com/blog/topics/developers-practitioners/four-eval-engineering-lessons/
- Record: https://forck.live/items/23593-four-evaluation-engineering-lessons-learned-from-building-agent-plugins
- Subject: Gemini Enterprise

Google Cloud shares four evaluation engineering lessons learned while building the Google Cloud Developer plugin: grade execution steps rather than summaries, design evals for asynchronous operations, test live and plan-only runs side-by-side, and use golden sets as durable baselines.

## Evidence

Verbatim from https://cloud.google.com/blog/topics/developers-practitioners/four-eval-engineering-lessons/:

> Evaluation engineering is a critical foundation for building reliable AI systems. Setting up systematic, repeatable tests to measure your agent’s true behavior can be the difference between shipping a tool you can trust and one that silently breaks, fails to call APIs, or makes mistakes.

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