For decades, screens, keyboards, and structured applications have shaped our relationship with technology. People learned how to interact with computers
Agents vs Operating Systems : The War That Could Kill Apps
Agents vs Operating Systems : The War That Could Kill Apps
A tale of two Agent Builders
What two competing solutions to the same design problem tell about the future of designing AI interfaces.
Desktop, Touch, Browser, Now AI? The Next OS in Computing
Explore how AI is reshaping human-computer interaction, from command lines to modern SaaS. Key insights on the next computing paradigm for startups and tech leaders.
LukeW | Agent Management Interface Patterns
As an increasing number of AI applications evolve to agents doing work for people, agent management becomes a critical part of these product's design. How can p...
The Rise of Agent Experience (AX)
Why AI hasn’t replaced software engineers, and won’t
Coding agents as normal technology
The case against conversational interfaces
Conversational interfaces are a bit of a meme. Every couple of years a shiny new AI development emerges and people in tech go "This is it! The next computing paradigm is here! We'll only use natural language going forward!". But then nothing actually changes and we continue using computers the way w
browser-use/browser-use
🌐 Make websites accessible for AI agents. Automate tasks online with ease.
The Agents Are Waking Up
The Intelligence Revolution that swept through the software industry this past winter is coming to knowledge-work next.
10 things I learned from burning myself out with AI coding agents
Opinion: As software power tools, AI agents may make people busier than ever before.
The Eternal Sloptember
I’m calling it now, the adoption of AI agents into software development will be one of the most costly mistakes in the field’s history. Agents cannot program, and it’s taking longer and longer to realize that they can’t. They are a highly sophisticated statistical model designed to mimic the distribution of programming. The output is broken, but in a way that’s getting harder and harder to detect. Which is exactly what you’d expect from an increasingly accurate statistical model.
The Eternal Sloptember
I’m calling it now, the adoption of AI agents into software development will be one of the most costly mistakes in the field’s history. Agents cannot program, and it’s taking longer and longer to realize that they can’t. They are a highly sophisticated statistical model designed to mimic the distribution of programming. The output is broken, but in a way that’s getting harder and harder to detect. Which is exactly what you’d expect from an increasingly accurate statistical model.
Generative UI: The AI agent is the front end
In a new model for user interfaces, agents paint the screen with interactive UI components on demand. Let’s take a look.
Project Think: building the next generation of AI agents on Cloudflare
Announcing a preview of the next edition of the Agents SDK — from lightweight primitives to a batteries-included platform for AI agents that think, act, and persist.
Who Does Your Agent Work For? The AI Super App Problem
Explore who controls AI agents in your digital life. This essay examines super apps, enclosure, and why the delegation layer between intent and action matters most.
