Harness Engineering for Agentic AI: Design Production-Ready AI Agent Systems with Security, Runtime Control, Observability, and Failure Recovery
What happens after your AI agent works perfectly in a demo, but fails when real users, real tools, real data, and real consequences enter the picture?
Building an AI agent is one challenge. Building an agent you can confidently run in production is another. Models can make unexpected decisions, tools can fail, workflows can stop halfway through, APIs can time out, permissions can be misused, and a simple retry can accidentally repeat a payment, message, or other critical action.
Harness Engineering for Agentic AI shows developers and AI engineers how to build the engineering layer that keeps autonomous agents controlled, observable, secure, and recoverable. Instead of focusing only on prompts and model intelligence, this practical guide explains the infrastructure and runtime controls needed to move from a working agent prototype to a dependable production system.
Inside, you will learn how to:
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