By now, we all know by now that the real complexity of building AI agents doesn't lie in the model.

It lies in managing memory, tools, context, orchestration, security and reliability around the model.

If AI agents have to become increasingly autonomous, the infrastructure surrounding the model matters just as much as the model itself.

This emerging discipline is what people call Harness Engineering.

In this talk, we will deep dive into the topic and its 9 major components without any Jargon.