What do you think software looks like when agents become normal users of apps?

Reddit r/AI_Agents News

Summary

The author explores how software design might need to evolve when AI agents become regular users, discussing needs like durable state, collaboration rules, permissions, and audit trails.

I’ve been thinking about this a lot lately. Most software today is still designed around humans clicking through screens: dashboards, forms, permissions, notifications, workflows, etc. AI agents are usually added as a copilot or automation layer on top of that. But what happens when agents become normal users of software too? For example, if an agent is working across tasks over time, it probably needs some kind of durable state, not just chat history. If agents collaborate with each other, they need clear rules for what they can read, write, share, or hand off. And if they make decisions or take actions, we probably need better audit trails than “the AI did it.” I’m curious how people here think this plays out. Do existing apps just add agent features over time? Or do we get a new category of software that is designed from the start for agents as first-class actors? What would you want to see in that kind of software? Memory, permissions, identity, human approval flows, audit logs, better APIs, something else?
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