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The question that matters for the next three years is: what are we willing to pay per unit of value delivered, and what model, architecture, and workflow achieves that at scale?

At some point I stopped asking, “How do I write this selector?” and started asking a better question: What if component state could be expressed declaratively, while the compiler handled the selector logic needed to make it deterministic? That question eventually became Tasty.

When organizations say “AI can do what the glue people did,” they are looking at the output layer and missing everything underneath. The risk isn’t just that the AI-produced artifacts will be lower quality. It’s that removing the people and assuming AI covers it eliminates the judgment, social infrastructure, and adaptive capacity that made those artifacts matter, while creating the appearance that everything is still being handled.

Oops.

As American and Chinese technology becomes more deeply embedded, there is much talk in Europe’s capitals about the importance of tech sovereignty. But the truth is no European country, including Britain, is big enough to stand on its own feet across the full range of ai-related technologies. The tech supremacy of America and China is in large part a function of their hemispheric scale. European nations will need to learn to act at hemispheric scale themselves if they want to compete.

It is useful in three cases: a standard Codex review, a more skeptical adversarial review, and handing work off to Codex when you want a second pass from a different agent.

How do we make libraries that agents love?

There's a phrase you hear in marketing: "everyone is a creator now." It sounds democratizing, hopeful even, like the whole internet has become a Renaissance workshop where artisans and thinkers reach audiences directly. In practice, everyone is a marketer now. The "creator economy" turned out to be an economy where the thing being created, more and more, is demand for more of yourself. Your aesthetic, your opinions, your morning routine, your trauma, your fitness journey, your face: all raw material for the content machine, all measured against growth metrics that would make a mid-career product manager feel right at home.

Every iOS PWA limitation explained with code workarounds. Push notifications, storage, background sync — what works on iPhone and Safari in 2026 and what doesn't.

​Sharing lived experience, honest storytelling and practical insight to make travel more inclusive for everyone.

Keep it small, keep it opinionated.

Are there experiences of digital done well, and with a similar mindset? As it turns out, it’s already happening—in small places, and mostly unnoticed, which is, of course, exactly the point.

People are spending less and less time on the web because websites are becoming worse and worse experiences, but the publishers of websites are almost literally trying to dig their way out of that hole by adding more and more of the reader-hostile shit that is driving people away.

When you strip away the product marketing and the dev relations and the blog posts and the funding rounds and the fuckery-upon-fuckery of it all, we’re left with a simulation of collective engagement - but very little else. Transparency got confused with progress, visibility got confused with accountability, and being included in the thread became the same thing, socially and organizationally, as owning the outcome.

It’s quite easy to get carried away thinking about how cool it would be to actually build a system that could, on an engineering level, do the things that the fictional technology is depicted as doing in the book or the movie. Having built it, though, you might discover that it’s just a lot of randos milling around waiting for something to happen.

The 81K study reads less as a report about what people want from AI than as a diagnostic scan of a civilisation that outsourced its care infrastructure, overloaded its workers, defunded its public spaces, and then watched a machine move into every gap it left empty. The respondents are not confused about what they are asking for. They are asking for what was taken from them. That AI is the tool they are asking with, and the tool that threatens to take more, is the entanglement the study maps with clinical precision.

Let's take a look at everything new in Google Stitch to find out if it's just more hype, or if it really is a gamechanger for UI/UX design.

What this means in terms of compute — and by extension, economic impact — is that it actually won’t require that many people with agency to drastically increase the amount of compute that is actively utilized to create products with meaningful economic impact. In other words, the rise of agents doesn’t just mean a dramatic increase in compute, but also a narrowing of the need for widescale adoption by humans for that demand to manifest. Yes, AI still needs agency; it just doesn’t need agency from that many people for its impact to be profound.

I think there’s something quietly screwing up a lot of engineering teams. In interviews, in promotion packets, in design reviews: the engineer who overbuilds gets a compelling narrative, but the one who ships the simplest thing that works gets… nothing.

Haptic feedback for the mobile web. Supports React, Vue, and Svelte.

macOS-native sandboxing for local agents.

How I’m prioritising performance when it comes to typography on The Session.

I mean they can but this is actually a fairly balanced take on why it's even more useful to know about right now.

Liking this site for Orms by BOB Design

Youch.

Most “design systems” stop at components. A Design Language System (DLS) defines the language your components and teams speak: design tokens as the vocabulary and semantic HTML/CSS as the grammar, implemented in the layout layer as a stable framework-agnostic DOM + token contract.

It’s a grim time to be in your 20s, no doubt, but don’t blame it all on older people: being chopped up into ever smaller rivalries only serves the market

You can now use Baseline in any toolchain that uses Browserslist.

Andrew Palmer discusses the potential and limits of AI agents with the co-founder of Sierra, an agentic customer-service company. Bret Taylor, who is also the chairman of OpenAI, tells Andrew Palmer about the imperfections of the technology, the competition between model-makers and vendors, and how he uses AI to manage.