# Storybook Storybook is an open-source frontend workshop for building, testing, and documenting UI components and pages in isolation. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Using Storybook Workbench to audit AI-generated UIs for dead components and accessibility bugs DevFeed: [Using Storybook Workbench to audit AI-generated UIs for dead components and accessibility bugs]() Original publisher: [Read original article]() Author: Travis Turner (richardturner@evilmartians.com) Published: 2026-07-08T00:00:00Z Content type: tutorial Language: en Sources: [Evil Martians]() Topics: [Storybook](), [Agent Skills](), [agentic-coding](), [AI-assisted coding](), [Accessibility](), [Design system]() Tags: [accessibility](), [agent-experience](), [agent-skills](), [agentic-coding](), [agentic-development](), [ai](), [bugs](), [design](), [design-engineering](), [design-for-devtools](), [design-system](), [dx](), [storybook]() ### AI overview The article presents Storybook Workbench, a bundle of Agent Skills that audits AI-generated web applications by rendering components as Storybook stories. It describes finding dead components, coexisting design systems, conditional component states, and accessibility bugs, based on an internal audit of an agent-coded app. ### Source excerpt Storybook Workbench is a bundle of Agent Skills that turn Storybook into an audit layer for AI-generated UIs: find dead components, design-system drift, and hidden accessibility bugs. ## BrowserStack Newsletter May 2026 DevFeed: [BrowserStack Newsletter May 2026]() Original publisher: [Read original article]() Author: Devanshi Jain Published: 2026-06-24T04:07:56Z Content type: news Language: en Sources: [BrowserStack Blog]() Topics: [Testing](), [Application Performance Management (APM)](), [dashboards](), [Artificial Intelligence](), [Mobile Testing](), [iOS](), [Cypress](), [Figma](), [Robot Framework](), [Storybook]() Tags: [2026](), [ai](), [ai-agents](), [features](), [launch](), [metrics](), [newsletter](), [performance](), [product](), [testing]() ### AI overview BrowserStack's May 2026 newsletter highlights a QA Leadership Summit session on building trustworthy AI testing workflows, the launch of BrowserStack Load Testing, and product updates across mobile testing, visual review, accessibility, scanning, and automation. The Load Testing platform combines backend load generation, real-browser performance, and APM metrics, using AI agents to correlate data and identify root causes. ### Source excerpt Read what's new at BrowserStack in May 2026 - New launches, product features, and more! ## 2 Martians, greenfield to MVP in 4 weeks: agentic coding on Rails DevFeed: [2 Martians, greenfield to MVP in 4 weeks: agentic coding on Rails]() Original publisher: [Read original article]() Author: Travis Turner (richardturner@evilmartians.com) Published: 2026-06-09T00:00:00Z Content type: article Language: en Sources: [Evil Martians]() Topics: [agentic-coding](), [Rails](), [coding](), [React](), [Storybook](), [Open Source](), [stripe]() Tags: [agentic](), [agentic-coding](), [ai](), [app](), [authentication](), [building](), [case-study](), [coding](), [designer](), [developer-marketing](), [developer-products](), [google-analytics](), [onboarding](), [open-source](), [payments](), [platform](), [product](), [product-development](), [production](), [prototype](), [rails](), [react](), [skills](), [storybook]() ### AI overview A designer and an engineer describe how they shipped Thicket, a production MVP, in four weeks using agentic coding with Rails, Inertia, React, and Storybook. They discuss their workflow, project-specific skills, user validation, and the resulting open-source practices. ### Source excerpt A designer and an engineer shipped a production MVP in four weeks on Rails + Inertia. In this post, we share our agentic coding stack, the skills we built, and why it clicked. ## From Jira to PR: How we built agent-driven pipelines for design system changes DevFeed: [From Jira to PR: How we built agent-driven pipelines for design system changes]() Original publisher: [Read original article]() Author: info@1password.com (Nancy Wang; Wayne Duso; Katie Davis; Matt Davey) Published: 2026-05-19T00:00:00Z Content type: article Language: en Sources: [Blog on 1Password Blog]() Topics: [agentic-coding](), [React](), [Figma](), [Storybook](), [coding](), [Pull Request]() Tags: [agentic](), [agentic-coding](), [ai](), [coding](), [design](), [developers](), [figma](), [react](), [tokens](), [validation](), [web]() ### AI overview The article describes using a coding agent to automate a well-defined design-system workflow from ticket and Figma review through component implementation, Storybook stories, testing, and pull requests. It emphasizes that strict conventions, predictable outputs, design-system context, and automated validation help agents work effectively, while insufficient context leads to incorrect tokens and component choices. ### Source excerpt Design system work follows a well-defined loop: read the ticket, check the Figma spec, find the right component primitives, apply the right tokens, write the Storybook stories, run the tests, open the PR. The steps are consistent enough that when we looked at our design system backlog, we didn't just see a list of tasks; we saw a set of instructions waiting to be executed. So we set an agent loose on the loop. At first, it was a semi-hot mess. But then we gave it the right context, and boom, it has completely changed how we improve our Design System. Here's our approach on what we did and what we learned. Why we started with our design system Every team considering agentic coding faces the same question of where to begin. The tempting answer is your largest codebase or your most complex feature. The right answer is wherever the work is most well-specified, and the feedback loop is fastest. Our React component library, the web layer of our design system, happened to be both. Conventions are strict by design: that's the whole point of having a design system. The output shape is predictable and well-documented: a component, some design tokens, a story, and a test. The blast radius of any change is traceable. And if a token is wrong, the tests catch it automatically, without a human having to notice. That combination of explicit conventions, predictable outputs, and automatic validation describes exactly the kind of bounded context where agents do well. When we looked at where to prove the pattern before adapting it to larger, messier codebases, the design system was an obvious answer. What happened when we pointed a general-purpose agent at our design system The first attempt was to take a well-scoped ticket, hand it to a capable coding agent, and see what comes out. The results were instructive, and not in the way we hoped. The agent could read the ticket and navigate the codebase. But without design system-specific context, it filled knowledge gaps with confident-sou ## An Experiment in Agent Orchestration at Mintlify DevFeed: [An Experiment in Agent Orchestration at Mintlify]() Original publisher: [Read original article]() Author: Kathryn Lawrence Published: 2026-02-03T00:00:00Z Content type: opinion Language: en Sources: [Mintlify Blog]() Topics: [agent orchestration](), [Claude](), [Claude Code](), [Development](), [React](), [Storybook](), [Tailwind CSS](), [monorepo]() Tags: [agent-orchestration](), [ai-agent](), [claude](), [claude-code](), [development](), [engineering](), [monorepo](), [react](), [storybook](), [tailwind]() ### AI overview Mintlify describes an experiment using agent orchestration and AI coding tools while migrating its internal component system. The article concludes that an army of Claude agents was still no match for one human collaborator, Dmytro. ### Source excerpt TL;DR: We tried agent orchestration, but an army of Claudes is still no match for one Dmytro. ## Improving Frontend Regression Testing with Chromatic DevFeed: [Improving Frontend Regression Testing with Chromatic]() Original publisher: [Read original article]() Author: Stephen De Vaux Published: 2026-01-30T01:00:49Z Content type: article Language: en Sources: [Kogan.com]() Topics: [Front end](), [Testing](), [Storybook](), [Remix](), [browser](), [ci](), [Automation](), [pull-requests](), [Developer experience](), [unit test]() Tags: [automation](), [browser](), [ci](), [developer-experience](), [frontend](), [pull-requests](), [regression](), [remix](), [storybook](), [testing](), [ui](), [unit-test](), [visual-regression-testing]() ### AI overview The article explains how Kogan integrated Chromatic into a Remix-based frontend testing workflow to detect visual regressions that traditional unit tests may miss. It describes Chromatic's Storybook integration, browser screenshots, baseline comparisons, CI workflow, and the differences between UI Review and Visual Tests. ### Source excerpt After recently migrating our frontend to Remix, we took the opportunity to reassess how we approach frontend testing, particularly regression testing. While we already had unit test coverage, we identified a gap when it came to validating UI changes. This is where Chromatic became a part of our frontend testing strategy. This post outlines why we introduced Chromatic and how it fits into a Remix-based workflow. Even when application functionality remains unchanged, subtle visual regressions can still be introduced. Changes to spacing, typography, layout, or component states can easily slip through without being caught by traditional tests. What we needed was a way to automatically detect meaningful UI changes while still fitting into our existing development workflow. At the same time, it was important to avoid introducing a fragile or high-maintenance testing setup, one that adds overhead without delivering proportional benefit. Our implementation with Chromatic attempts to balance automation, reliability, and developer experience as a practical addition rather than an extra burden. Why Chromatic? Chromatic provides visual regression testing on top of Storybook. Instead of testing components purely through assertions, Chromatic renders components in a real browser environment and captures screenshots. These are then compared against a known baseline to highlight visual changes. The key reasons we chose Chromatic were: Automated visual diffs that are easy to review Integration with Storybook, which we already use for component development CI-friendly workflow that fits well into pull requests Chromatic offers two closely related features for reviewing UI changes: UI Review and Visual Tests. While they have some overlap of functionality, they serve different purposes and are designed for different levels of enforcement. UI Review is enabled by default, whereas Visual Tests are an optional feature. UI Review generates snapshots that highlight differences against a bas ## Watch and Rebuild Storybook Dependencies with Nx DevFeed: [Watch and Rebuild Storybook Dependencies with Nx]() Original publisher: [Read original article]() Author: Juri Strumpflohner Published: 2025-10-29T00:00:00Z Content type: tutorial Language: en Sources: [Juri Strumpflohner]() Topics: [Storybook](), [Developer experience](), [monorepo](), [Vite](), [Library](), [configuration]() Tags: [build](), [commands](), [configuration](), [developer-experience](), [how-to](), [monorepo](), [nx](), [storybook](), [vite]() ### AI overview This tutorial explains how to use Nx workspace watching to automatically rebuild buildable library dependencies in a Storybook monorepo. It configures watch and dependency targets so Storybook's Vite HMR server detects changes and refreshes automatically. ### Source excerpt Learn how to set up automatic rebuilding of buildable library dependencies in your Storybook setup using Nx workspace watching for a seamless developer experience. ## Wise Tech Stack (2025 update) DevFeed: [Wise Tech Stack (2025 update)]() Original publisher: [Read original article]() Author: Milon James Published: 2025-02-12T13:34:08Z Content type: article Language: en Sources: [Wise Engineering - Medium]() Topics: [Development](), [Mobile](), [Web](), [Tuist](), [Storybook](), [Testing](), [build performance]() Tags: [build-times](), [caching](), [data](), [engineering](), [mobile](), [next-js](), [platform](), [storybook](), [swift](), [swift-package-manager](), [tech](), [tech-stack](), [testing](), [tuist](), [update](), [web](), [xcode](), [xcodegen]() ### AI overview Wise's 2025 technology update describes its web, iOS, and Android engineering stack, including Next.js-based web applications, Storybook visual testing, migration from Xcodegen to Tuist, adoption of Swift Package Manager, and Android development across a large Gradle repository. ### Source excerpt Wise Engineering As of the financial year 2025, Wise supports 15.6 million active customers, moving approximately GBP 36 billion across borders each quarter. Approximately 65% of our transfers arrive instantly, and our Wise Platform facilitates payments for banks, financial institutions and enterprises globally. This success is driven by our technology-first approach, robust architecture, and dedicated engineering teams. Photo by Randy Fath on UnsplashHow we work at Wise Wise has more than 850 engineers working across key global locations, organised into independent squads and tribes. These teams are empowered to innovate and make decisions independently, fostering transparency, trust, and collaboration. This article follows our Tech Stack 2022 to cover the most recent improvements in Wise's tech stack that enable us to achieve our mission of money without borders -- instant, convenient, transparent and eventually free. Moving money with WiseOur web and mobile applications Our web applications are built using CRAB (a Wise-specific abstraction on top of the popular Next.js framework) and comprises of 40 distinct apps, each handling specific product functions making deployments safer and more manageable. One of the biggest changes has been in our testing methodology. We've adopted Storybook for visualising individual React components during development. Storybook pairs really well with Chromatic which captures snapshots after each change and can highlight the visual differences in the component. These snapshots are very effective for catching visual regressions during code changes which helps us prevent bugs from reaching our customers. Wise mobile app: faster, smarter, and more efficient Our iOS engineers have upgraded our infrastructure by migrating 250+ Xcode modules from Xcodegen to Tuist and switching from Cocoapods to Swift Package Manager (SPM), unlocking improvements in caching for builds. The team also improved flexibility, reducing zero-change build times from 2 ## What's new in Svelte: February 2025 DevFeed: [What's new in Svelte: February 2025]() Original publisher: [Read original article]() Author: Dani Sandoval Published: 2025-02-01T00:00:00Z Content type: article Language: en Sources: [Svelte blog]() Topics: [Svelte](), [JavaScript](), [CSS](), [Storybook](), [Tailwind CSS](), [Threlte](), [Vite]() Tags: [2025](), [code](), [css](), [developer](), [docs](), [javascript](), [releases](), [svelte](), [tailwind](), [threlte](), [vite]() ### AI overview A February 2025 roundup of updates to Svelte, SvelteKit, and related language tools, including new types, improved syntax highlighting, framework enhancements, and community projects. ### Source excerpt The Svelte developer experience got a huge upgrade this month with more exported types and better syntax highlighting in VS Code. Combine that with the huge releases from Storybook, Tailwind and Threlte... and you've got a pretty big month! Let's dive in 🐬 What's new in Svelte Non-numeric values can now be tweened by snapping immediately to the new value (5.17.0, Docs, #14941) const tags are now allowed inside of a svelte:boundary (5.17.5, Docs, #14993)