Harness Engineering: Building the Production Cage for Powerful Domain Agents — Mike Chambers, AWS

Harness engineering defines the architecture surrounding an AI model, encompassing memory, tools, scaling, and observability. Agents fall into two distinct categories: those used for productivity, such as coding assistants, and those built for specific applications. Effective harness engineering requires moving beyond simple local scripts to cloud-scale infrastructure, ensuring multi-tenant isolation and robust deployment. By utilizing tools like the Bedrock Agent Core and the Strands SDK, developers can decouple components such as session management and memory from the core logic. This modular approach enables independent scaling and consistent performance across thousands of users. Avoiding "slop-ops"—manual console interactions—in favor of infrastructure as code ensures that agents remain maintainable and production-ready. Ultimately, the harness provides the necessary structure to transform a basic prompt-based model into a scalable, reliable, and professional agentic system.