AI agents may turn software from fixed code into systems that can plan and build on demand.

This paper argues that code may stop being the central artifact.

For decades， software meant frozen intent： a human anticipated a situation， translated judgment into rules， and shipped those rules into the world.

Agents disturb that bargain because they can turn intent into action at runtime， generating code as a disposable tool rather than treating it as the product.

The real shift is not from human coding to AI coding； it is from predesigned behavior to negotiated behavior， where the system keeps interpreting the goal as conditions change.

That sounds powerful， but it is also where the danger lives.

A static program fails inside boundaries we can often inspect， while an agent can fail through drift， overconfidence， bad memory， or a plausible chain of steps that quietly compounds an early mistake.

So the paper is not saying coding tools will get better， but that software itself may become a living agent system where humans guide intent and audit outcomes.

So the future engineer is not just a prompt writer， and not merely a supervisor of digital interns.

The valuable person becomes someone who can define intent， constrain autonomy， design evaluation， inspect reasoning traces， and know when the machine's fluent answer is not the same as a reliable system.

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Link - arxiv. org/abs/2606.05608

Title： "Agentic Software： How AI Agents Are Restructuring the Software Paradigm"