Harness Engineering: Building the Production Cage for Powerful Domain Agents — Mike Chambers, AWS
Mike Chambers, an AI specialist at AWS, explains how to build a "harness" — everything around the AI model itself in an agent.
For tools we use, like coding assistants, memory, skills, and standards suffice. For agents we build ourselves, much more is needed: loop management, scaling, payments, identity, and observability. Through live coding, Chambers shows how to separate these components so each can scale independently, rather than packing everything into one container. He also warns against "slop ops" — when agents create cloud resources directly instead of using infrastructure-as-code.
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