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
Finally, less vibes-based agent building. If you test agents with a handful of happy-path prompts, you're shipping demo magic, not software.
Agent-EvalKit hits the sore spot: planning, tool use, and output quality need measurement before an agent touches customer workflows.
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