Web Developer Tools & Resources
The creator of Flowbite built a Chrome extension that helps you extract styles from any website and generate DESIGN(.)md or SKILL(.)md files
Agentic technology — AI that can make decisions, carry out complex tasks and work autonomously — is sparking a familiar debate that’s rekindled each time we meet a transformative technology. From the printing press and the camera to the personal computer and digital imaging software, the questions are different but the controversy is always the same: will new technology serve people or replace them? Artists always answer these questions by...
If you’re like me you gotta be curious… what’s it like designing at OpenAI?
We spent two decades mastering interfaces. We learned how to map workflows, how to communicate intent, how to shape interactions through layout and information hierarchy. The UI really was the ground truth of user experience and I have loved this space. Now, AI changes all of that. We’re moving into a reality where software has agency.
Last week, one of our developers was building a warning message. She noticed the color contrast looked off. She could have done what developers do all the time in that situation: swap the token, hardcode a value that looks right, avoid the back-and-forth over something that simple. Ship it and move on.
This article explores my learning process in scaffolding an agentic design system IDE workspace using AI skills, MCPs and Figma. With Google’s Antigravity I did setup a mix of workflows in order to generate code from design as well as design from code.
There’s a lot of rumors of a big impending UI redesign from Apple. Let’s imagine what’s (or what could be) next for the design of iPhones, Macs and iPads.
OpenAI has been all over the news recently, whether that news is about acquisitions, competition with Anthropic, or bigger debates about AI’s impact on society.
New Penguin data confirms it: younger readers do judge a book by its cover. And these award-winning jackets highlight what’s currently hitting the mark.
Today, we’re launching Claude Design, a new Anthropic Labs product that lets you collaborate with Claude to create polished visual work like designs, prototypes, slides, one-pagers, and more.
A lot has happened in CSS in the last few years, but there’s nothing we needed less than the upcoming Olfactive API. Now, I know what you’re going to say, expanding the web in a more immersive way is a good thing, and in general I’d agree, but there’s no generalized hardware support for this yet and, in my opinion, it’s too much, too early.
Today’s colleges and universities are being asked to do far more than just award degrees. Rising tuition costs, shrinking enrollment and retention, and a rapidly changing job market are forcing institutions to rethink what academic success looks like today.
From rising media valuations to record-breaking attendance and brand investment, the shift is undeniable. Publications like Print Magazine are calling it a “golden age” of women’s sports branding. Forbes is outlining how brands can meaningfully participate in the revolution. And leagues like the WNBA are doubling down on expansion, storytelling, and identity-driven growth.
After Anthropic released Claude Code’s 2.1.88 update, users quickly discovered that it contained a package with a source map file containing its TypeScript codebase, with one person on X calling attention to the leak and posting a file containing the code. The leaked data reportedly contains more than 512,000 lines of code and provides a look into the inner workings of the AI-powered coding tool, as reported earlier by Ars Technica and VentureBeat.
Starting today, you can use AI agents to design directly on the Figma canvas. And with skills, you can guide agents with context about your team’s decisions and intent.
We often see design principles as rigid guidelines that dictate design decisions. But actually, they are an incredible tool to rally the team around a shared purpose and document the values and beliefs that an organization embodies.
Website development is shifting from traditional engineering-heavy workflows to a new model where non-technical users can build full applications using AI-driven tools and simple command-based inputs. This approach is often referred to as vibe coding — focusing on intent and outcome rather than syntax and implementation.
Most product teams don’t have a user research problem, they have an activation problem. Interviews are conducted, insights are documented, findings are shared in a slide deck and then the project moves forward without any of that work meaningfully changing the direction. The research sits in a folder, and the product gets built on instinct.