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
Agents without evals are demo magic with production risk. Agent-EvalKit hits the sore spot: if you put Claude Code or Bedrock agents into real workflows, you need test cases, metrics, and regression checks before the agent quietly automates bad decisions.
Sources
