In the news
Hill-Climbing Agent Quality with Agents CLI Evaluation- Google Developers Blog
Google Developers · Published · 3 min read
In 30 seconds
- What happened
- Google released Agents CLI evaluation tools for iteratively improving AI agents through testing, grading, and comparing performance across model changes.
- Why it matters
- Engineers building production AI agents need this to catch regressions, compare model backends, and systematically improve agent quality over time.
- Watch out
- The evaluation score alone is misleading; per-case breakdowns reveal where changes actually hurt or help, and model swaps require prompt retuning to be fair comparisons.
- agent
- eval
The patterns behind this
- Eval-Driven Development (Agent CI)
- Agentic Context Engineering (Evolving Playbook)
- Self-Improving Systems
Each one covers how the technique works, when it earns its cost, and where it breaks.
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