Title: The Paradigm Shift: From UI-Centric to Agent-Centric Soft...
URL Source: https://www.bestblogs.dev/status/2036681784621232133
Published Time: 2026-03-25 05:49:11
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The Paradigm Shift: From UI-Centric to Agent-Centric Software
The Paradigm Shift: From UI-Centric to Agent-Centric Software
 ### Aadit Sheth@aaditsh
Computer use is the demo. The real shift is who software is built for.
For 30 years, apps were designed for humans clicking around UIs.
Now the core mechanism flips to:
Humans → AI agent → Apps, with agents writing code and calling APIs on the fly.
We already spend around $675B a year on software globally and the average company runs ~220 SaaS apps. Knowledge workers lose hours every week context switching between them.
Agents collapse that into one interface: you describe the workflow in language, they turn it into code, and push it through every system you use.
The winners aren’t just building assistants. They’re rebuilding their stack so AI is the primary user and humans only set goals and constraints.
Act accordingly when you build products.Show More
#### Aaron Levie
@levie · 1d ago
Computer use and the ability to write and run code on the fly are the ultimate primitives for agents to be able to take on more and more tasks in knowledge work.
Most work requires hopping between multiple applications, and working with broad sets of data, in a workflow, and agents will need to be able to traverse these systems to be able to effectively automate any real work in the enterprise.
Now we will have agents that are the equivalent of having an expert programmer (or any number of them) that can write code or use any API to automate whatever work you’re doing. Agents will have access to either a user’s computer and resources, or their own sandbox to operate in, and be able to pull together the tools necessary to perform the task at hand. This opens up the broadest set of agentic use-cases.
To be sure, there are going to be various hurdles around security, permissions and access controls, identity challenges, and more.
For instance, should the agent always act on behalf of the user, or should they have their own identity and limited set of access rights? How do you triage security events when historically volume of activity on a system is no longer a reliable signal of a security issue? How do you ensure the agent isn’t going rogue or getting prompt injected to do something risky? All problems that need to get figured out.
Then, there’s also lots of work needed to ensure software is setup to enable to agents to operate with their tools in a headless fashion. This will be an uncomfortable reality for some incumbents, and equally a welcome one for tools that historically have operated seamlessly via APIs, and have business models to support this.
Lots of change coming in the world of work agents, and it’s going to get pretty wild.Show More
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Mar 25, 2026, 5:49 AM View on X
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2,050 Views  Aadit Sheth @aaditsh
One Sentence Summary
Aadit Sheth argues that the future of software lies in rebuilding stacks for AI agents as the primary user, rather than just building assistants for human UI interaction.
Summary
This tweet analyzes the fundamental shift in software development driven by the rise of AI agents. Building on Aaron Levie's insights, the author posits that software design is moving away from human-centric UI interaction toward agent-centric workflows where AI writes code and calls APIs directly. The author advises product builders to rethink their architecture to accommodate AI as the primary user, rather than merely layering assistants on top of existing interfaces, to truly capture the value of agentic automation.
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AI Agents
Software Architecture
SaaS
Product Strategy
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