How Multi‑Agent AI Architecture Solves Complex Data Generation Challenges
This article details the design and evolution of a multi‑agent AI system for automated data generation in integration testing, covering challenges, single‑ versus multi‑agent approaches, prompt engineering, tool governance, intent recognition, tool filtering, reasoning execution, performance gains, and practical recommendations.
