AI Agents as Primary Developers: A Retrospective on Production Infrastructure

This retrospective demonstrates how AI agents can effectively lead real production software development using structured methodologies like TDD and agile under MCP control. By handling data migration, credential management, and infrastructure building—tasks traditionally requiring senior engineers—AI proves it can move beyond toy projects to business-critical systems. For organizations evaluating AI-driven development, this provides both practical workflows that work and transparent records of actual outcomes.