In production AI, the language model is a commodity; the real differentiation lies in the scaffolding. Harness engineering is the discipline of building the infrastructure that wraps, controls, and restricts agents. We’ll explore five essential layers for a robust system: orchestration, evaluation, observability, safety constraints, and memory. Learn how treating the harness as a first-class citizen makes complex agentic workflows predictable, debuggable, and safe.