Harness engineering helps AI agents survive production Monday

The author argues that building reliable production AI agents requires moving beyond model capabilities to focus on harness engineering, which wraps the model in code-enforced boundaries, permissions, and validation checks. By constraining what an agent can touch rather than what it can reason about, teams can prevent security risks and unpredictable behavior in real-world business applications. Open article →