The assumption behind AI design tools is very clear: that design is the act of producing.

It doesn’t mean you can’t get AI to help with accessible code, you’ve just got to know what you’re doing.

Rapid AI scaling outpaces our ability to build safety guardrails.

Full-stack hiring, AI-generated code with no context, and a compliance-first mentality have combined to create a crisis hiding in plain sight.

American capital financed AI on the assumption it would be the next great monopoly.

On quitting, the spread of AI, and the loss of an ideal.

A context system for building accessible software by default—for developers and AI, with enforceable rules aligned to WCAG.

Devs are purposefully burning tokens (and money!) to inflate their AI usage and hit AI usage metrics which they treat as targets.

Discover why combining AI meeting tools with handwritten notes enhances your insights.

Raw coding speed isn’t the bottleneck. Alignment is the bottleneck. That seems to be a zeitgeist-y theme lately.

Without a critical human eye, AI produces slop. The quality bar is yours to maintain.

We’ll need to redefine what productivity means in the context of humans. If we don’t, we’re all kind of screwed, and yes, AI will take our jobs away.

462+ sources, one pattern: AI adoption is accelerating, productivity is climbing, and jobs are changing faster than they’re disappearing.

Talking websites into existence.

Headless services are quicker and more dependable for the personal AIs than having them click round a GUI with a bot-controlled mouse.

Prompting patterns, best practices, and example prompts drawn from real production use cases for gpt-image-2.

Our world is built around technological infrastructures that define what we see, who we can talk to and what information gets presented to us.

The number of screenshots of Claude conversations is going up in my life and it’s beginning to have an impact on my general mood.

The beast is hairy enough that entire design roles now specialize in wrangling the system itself.

Why most companies are still early in the AI journey—and what product leaders should focus on instead.