Evaluate AI agents systematically with Agent-EvalKit
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. 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.
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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