AI engineers are shifting from writing code to managing Agents.
After Agent throughput continues to improve, the most difficult resource to expand becomes Human Attention.
This essence discusses the changes in the role of AI engineers: instead of polling ten terminals and personally responsible for the scheduler, router, and memory, the execution is handed over to the long-running Manager, which delegates workers, maintains the Persistent Context, and promotes tasks to continue running through Triggers.
The focus of engineering efforts gradually shifts to goal definition, loop design, verification links, and final decisions.
Model capabilities are just the base.
Whether work can move from Issues to Tests, Reviews, PRs, and Merges depends on Harness and organizational processes.
After Token and Compute are expanded, Human Attention will form a Review Queue.
Persistent Context, Delegation and Trigger form an extensible Agent Loop.
The Manager/Worker model keeps people at the direction and approval nodes.
Production value comes from the complete delivery chain, not the speed of a single code generation.