eval-harness

Eval-driven development is a formal evaluation methodology that validates Claude Code sessions through repeatable capability and regression tests, scoring outputs with code graders, model graders, and human reviews to ensure reliable AI-assisted coding workflows.

You can establish a repeatable evaluation baseline by defining capability and regression evals, implementing multiple grader types, and running an end-to-end evaluation workflow that generates structured pass/fail metrics and reports for your coding tasks.

Yes, the evaluation framework supports multiple grader types simultaneously, allowing you to combine code graders, model graders, and human reviews within a single end-to-end workflow to score Claude Code session outputs comprehensively.

A formal eval harness provides structured eval definitions, persistent eval storage, and pass/fail metrics, enabling you to define, implement, and report evaluations across both capability validation and regression testing for AI-assisted coding sessions.

No external testing dependencies are required. The eval harness operates as a standalone framework, bootstrapping initial evaluations and generating reports directly within your Claude Code environment using built-in graders and metrics.