Brownfield agentic engineering involves using AI agents safely in legacy codebases by making hidden constraints visible and ensuring changes are trustworthy. The approach uses zone-based risk mapping—green zones for well-tested code where agents can work autonomously, yellow zones requiring characterization tests first, and red zones (auth, billing, permissions) that need human oversight to avoid technical debt.