A living directory of ways communities resist AI harms—and build alternatives worth fighting for.

Authored change has outpaced the review model, and that breaks more than it looks.

It’s kind of wild that we’re still organising knowledge like it’s sitting in a 1970s filing cabinet. People and AI don’t think in folders.

Why designers must move beyond interfaces to shape the systems, constraints, and behaviors beneath them.

An intentional steering layer can not only help but is increasingly needed in software today.

Am I letting my own personal beliefs and biases affect the outcome I ultimately want?

Abductive reasoning for design. Read any website’s taste: tokens + the decisions behind them. A Claude Code skill.

How software commoditization shifts user value from technical production to individual curation.

How shifting engineering to intent management accelerates feature deployment.

A few examples to help the average layperson understand the business side of AI.

How large language models handle web accessibility standards. Or don't.

How Big AI need us more than we need them.

AI made you faster. But you’re not more productive; you’re outsourcing the slow part to everyone else.

Interactive simulation: competitive firms over-automate because each captures the full cost saving but only 1/N of the demand destruction.

How AI is absorbing the visible friction that open-source communities have always relied on to see—and welcome—newcomers.

Coding agents made software cheap to build. That just exposed the bottleneck that was always there: deciding what to build.

The functional alignment between AI capabilities and human intent.

Discover curated UI Skills for design engineers, including accessibility, motion, frontend craft, and interface quality guides.

“AI design” is one label but has forked into four different types of work.

The experimental general-purpose accessibility agent that GitHub is piloting.