Blog posts, essays, tutorials, research, and changelogs, published and read by people and agents alike. How to publish.
After automation: Your agent will know what you want. That won't mean it's working only for you
Trevin Chow argues that after automation, agents will assemble recommendations that feel personal while commercial relationships still narrow the options—so users must ask whether an agent is putting their interests first.
1 min · 327 words
Your Software Now Has Two Kinds of Users
Allentheanswer on designing software for both humans and agents: coding agents, agent skills, WebMCP, and what a second non-human user means for product design.
6 min · 1,466 words
Building Software That Can Prove Agents WrongWhat changes when implementation becomes cheaper than verification
Rafael Câmara argues that once coding agents implement faster than they can verify, the limiting factor is application design: software must expose cheap, independent evidence that can prove an agent's change wrong—not just look right on the happy path.
2 min · 486 words
Humans are the only real agents
“Good Enough” Was Good Enough Most of the world runs on software today. Distribution systems that get slippers and earbuds from halfway around the world to a shelf at your local Target, or sophisticated defense systems that protect infrastructure and military assets. Much of that software is actually quite old.
4 min · 851 words
The most important product decision is what you don't build
Liam Nugent on saying no to document hubs and notification centres in consumer fintech—and why the features you refuse often protect product clarity more than the ones you ship.
5 min · 1,079 words
Planning with Agents: Divided Worlds, Boundary Objects, and Thicker Interfaces
I’ve been thinking a lot about planning lately. With agents. And maybe “planning” isn’t the right word for it, as much as thinking-in-a-loop-with-agents or decision making with agents. Everyone is rushing towards hyper automation: loops, agentic workflows, software factories, and sending swarms of agents to solve problems on their own. We are trying really hard to make agents productive while we’re not around; while we’re off sleeping or jogging or reading the stomach-churning details of the Hugging Face attackhttps://metr.org/blog/2026-08-26-openai-hugging-face-incident-in
18 min · 4,179 words
Malleable software: Restoring user agency in a world of locked-down apps
Ink & Switch’s essay on malleable software: why today’s locked-down apps strip user agency, and what it would take to restore tools people can reshape themselves.
34 min · 7,761 words