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
Agent evaluation is finally being dragged out of demo theater. If you want coding agents in production, cherry-picked wins are useless: you need phases, measurements, regressions, and ugly failure modes.
Agent-EvalKit hits the painful gap between prompt tinkering and actual operational discipline.
Sources
