Video games have come a long way since 1958, when American physicist William Higinbotham debuted Tennis for Two, a bare-bones tennis game played via aluminum controllers on an oscilloscope—a machine that displays electrical signals—at a public exhibition. Even as games moved into arcades and personal gaming systems, they remained relatively simple. From Pong (1972), to PAC-MAN (1980), to Super Mario Bros (1983), early games didn’t have much of a user interface….

Developing effective agentic AI requires a new research playbook. When systems plan, decide, and act on our behalf, UX moves beyond usability testing into the realm of trust, consent, and accountability. Victor Yocco outlines the research methods needed to design agentic AI systems responsibly.

One of the most formative experiences in my career was working for a leader who did the hard work to shape a couple of workstreams, assign owners, and, most importantly, push us hard to build good habits and tempo. It wasn’t easy, by any means. We operated this way for a full year, and the results were incredible (and personally very rewarding).

A comprehensive guide to design system engineering (DSE): when it’s relevant, how AI changes things, and pointers for getting started. From Michael Abernethy, Principal Frontend Engineer at Rubrik

The majority of AI products remain tethered to a single, monolithic UI pattern: the chat box. While conversational interfaces are effective for exploration and managing ambiguity, they frequently become suboptimal when applied to structured professional workflows.

Atomic design systems have emerged as a methodology for creating scalable and maintainable user interfaces. This comprehensive guide explores what atomic design is, examines whether atomic design is still relevant in 2025, and reveals how atomic design principles can be adapted beyond their original chemistry metaphor. Drawing from a decade of industry experience and direct insights from Brad Frost himself, this article provides practical guidance for implementing modern design systems…

Atomic Design is one of the most frequently mentioned patterns when talking about frontend architecture.

Traditionally we’ve shied away from building because the chasm to go from designing to shipping requires learning to code, test, and bug fix. All of it required massive time investment to learn syntax, that changes every few years while core principles stay the same. Most of us are designers because we’re visual thinkers in a way.

These details aren’t accidents. They’re decisions. Careful, intentional decisions made by people who care deeply about craft.

As a design engineer, a role that’s all about craft, thoughtfulness and creativity, I should be skeptical of AI. By definition AI is not particularly great at those things, at least for now. But despite that, I kinda enjoy using it?