---
title: "Evaluate AI agents systematically with Agent-EvalKit"
slug: "evaluate-ai-agents-systematically-with-agent-evalkit"
date: 2026-06-11
category: tech-pub
tags: [anthropic, agents, open-source, amazon]
language: en
sources_count: 1
featured: false
publisher: AInauten News
url: https://news.ainauten.com/en/story/evaluate-ai-agents-systematically-with-agent-evalkit
---

# Evaluate AI agents systematically with Agent-EvalKit

**Published**: 2026-06-11 | **Category**: tech-pub | **Sources**: 1

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## TL;DR

Agent-EvalKit is an open-source toolkit (Apache 2.0) that makes this evaluation infrastructure available by integrating with AI coding assistants, including Claude Code, Kiro CLI, and Kilo Code.

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## Summary

Agent-EvalKit is an open-source toolkit (Apache 2.0) that makes this evaluation infrastructure available by integrating with AI coding assistants, including Claude Code, Kiro CLI, and Kilo Code. This post walks through how Agent-EvalKit works across its six evaluation phases, using a travel research agent built with the Strands Agents SDK and Amazon Bedrock as a running example.

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## Why it matters

Agent-EvalKit is an open-source toolkit (Apache 2.0) that makes this evaluation infrastructure available by integrating with AI coding assistants, including Claude Code, Kiro CLI, and Kilo Code.

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## Key Points

- Agent-EvalKit is an open-source toolkit (Apache 2.0) that makes this evaluation infrastructure available by integrating with AI coding assistants, including Claude Code, Kiro CLI, and Kilo Code.
- This post walks through how Agent-EvalKit works across its six evaluation phases, using a travel research agent built with the Strands Agents SDK and Amazon Bedrock as a running example.

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## Nauti's Take

Good: less gut feeling in agent building. If you run complex workflows with Claude Code, Bedrock, or your own toolchains, evals need to be mandatory infrastructure, not a fig leaf added after the first production incident.

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## FAQ

**Q:** What is Evaluate AI agents systematically with Agent-EvalKit about?

**A:** Agent-EvalKit is an open-source toolkit (Apache 2.0) that makes this evaluation infrastructure available by integrating with AI coding assistants, including Claude Code, Kiro CLI, and Kilo Code.

**Q:** Why does it matter?

**A:** Agent-EvalKit is an open-source toolkit (Apache 2.0) that makes this evaluation infrastructure available by integrating with AI coding assistants, including Claude Code, Kiro CLI, and Kilo Code.

**Q:** What are the key takeaways?

**A:** Agent-EvalKit is an open-source toolkit (Apache 2.0) that makes this evaluation infrastructure available by integrating with AI coding assistants, including Claude Code, Kiro CLI, and Kilo Code.. This post walks through how Agent-EvalKit works across its six evaluation phases, using a travel research agent built with the Strands Agents SDK and Amazon Bedrock as a running example.

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## Related Topics

- [anthropic](https://news.ainauten.com/en/tag/anthropic)
- [agents](https://news.ainauten.com/en/tag/agents)
- [open-source](https://news.ainauten.com/en/tag/open-source)
- [amazon](https://news.ainauten.com/en/tag/amazon)

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## Sources

- [Evaluate AI agents systematically with Agent-EvalKit](https://aws.amazon.com/blogs/machine-learning/evaluate-ai-agents-systematically-with-agent-evalkit/) - AWS Machine Learning Blog

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## About This Article

This article is a synthesis of 1 sources, curated and summarized by AInauten News. We aggregate AI news from trusted sources and provide bilingual (German/English) coverage.

**Publisher**: [AInauten](https://www.ainauten.com) | **Site**: [news.ainauten.com](https://news.ainauten.com)

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*Last Updated: 2026-06-11*