Results for “eval-driven-development”

Provides a formal evaluation framework for Claude Code sessions, implementing eval-driven development (EDD) principles to define pass/fail criteria, measure reliability with pass@k metrics, and create regression test suites.

Evaluate and rank agent results by metric or LLM judge for an AgentHub session.

Continuously monitors system performance, identifies improvement opportunities, and orchestrates skill discovery and creation to autonomously evolve capabilities.

Build automated evaluation pipelines for Python LLM applications using real LLM calls and structured test datasets.

Benchmarks language model agents on the C2C multi-agent negotiation task, reporting win rate across starting positions.