Agent-driven development in Copilot Applied Science

This post details the development of `eval-agents`, an agentic system built using Copilot CLI and Claude Opus 4.6, to automate the analysis of coding agent performance against benchmarks. It introduces strategies for agent-driven development, including conversational prompting, architectural refactoring, and a 'blame process, not agents' iteration strategy. The post highlights how these principles enabled rapid development of new agents and skills, emphasizing the importance of clean architecture, documentation, and testing in an agent-first development environment.