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Introduction Since I started publishing articles on Dev.to, I've been working on a personal project to transform my old blog website—which is no longer actively maintained—into a portfolio site ♻️ As part of that project, I recently started learning Figma and UI design🎨 When I discovered Figma MCP , I imagined a future where generative AI could automatically create polished, modern, and visually appealing designs for me with minimal effort 😎 Unfortunately, reality turned out to be quite different . This article is a reflection on that experience and a reminder to my future self about what I learned along the way📝 TL;DR I wanted to design a portfolio website in Figma , but quickly realized that UI design was more difficult than I expected. I wondered whether using Codex and Figma MCP would allow me to outsource the design process to AI , so I decided to try it. I couldn't magically generate the polished design I had imagined while also maintaining a well-structured Figma file with globally managed variants and reusable components. I learned that defining design rules first and building components step by step helped produce results that were much closer to my original vision. Even then, the process was not dramatically easier than expected, so I eventually decided to keep things simple and build my portfolio around the design principles already provided by shadcn/ui . What I Tried with Figma MCP🎨 While planning the UI design for my portfolio website , I initially created simple wireframe-like layouts in Figma to explore the overall page structure and component placement before working on detailed designs. At first, I wanted to keep things simple. However, as I continued working on the project, I found myself wanting something more polished, more modern, and ultimately more impressive . The problem was that I have very little confidence in my design skills. I'm an in-house IT engineer, not a professional developer or designer, so I often struggle to judge what makes a

PixToCode is a new Figma plugin that turns the frames you've already designed into production-ready code with AI — React, Angular, Vue, or HTML, all Tailwind-first. Just published on the Figma Community: figma.com/community/plugin/1641790551381890223/pixtocode What it does Select one or more frames in Figma, pick a framework, click Generate. About 10 seconds later you have clean code that uses the exact colors, spacing, typography, and layout from your file — not generic Tailwind utility soup. Highlights: 4 frameworks — React (TypeScript), Angular (standalone + Signals), Vue 3, or semantic HTML5. All Tailwind-first. UI library presets — shadcn/ui, Material UI, Chakra, Ant Design on React, Angular Material on Angular. Output uses the real components , not generic divs. Refine with plain English — type "make the button rounded" or "use green for the active tab" and the AI rewrites the component in place. Multi-frame batch — select up to 5 frames, get them all in one pass. Variants → typed props — a Figma Component Set with Primary / Secondary / Disabled becomes one typed prop-driven component, not three duplicate files. Live browser preview — see the generated component rendered in a sandboxed tab before pasting it into your project. Cloud history — every generation saved to your account, synced across devices. How it works Get a free license key at pixtocode.com (5 free generations, no credit card). Install the plugin from the Figma Community. Paste the key into the plugin's license field. Select a frame, choose a framework, click Generate. Copy the code straight into your project. That's the whole flow. Pricing Free — 5 generations on signup Pro — $20/month for 100 generations Power — $39/month for 250 generations Team — $99/month, 5 seats, 600 shared generations (scales to 10 seats) All paid plans have a 7-day refund guarantee. Tips for best results Frames with auto-layout , named layers , and consistent design tokens produce the cleanest output. For huge dashboard

From CFD and FEA to digital twins, carmaking now involves a lot of virtualization.

InfoQ expands its online certification portfolio with new AI Engineering and Organizational Architecture cohorts, giving senior practitioners a confidential peer group to pressure-test production AI, platform, team design, and architecture decisions. By Artenisa Chatziou