Vibe Coding Forem: Maya

The Design Workflow for 2026

Maya — Wed, 18 Mar 2026 13:04:44 +0000

In the AI era, it feels like everything is shifting. Honestly, I'm at the point where I'm almost sick of seeing the word "AI" everywhere 🤣, but I have to admit—the design workflow has truly evolved.

Instead of just imagining things on a blank canvas, it's so much better to use LLMs to generate a working demo to validate your ideas first. Then, you can just toss that HTML into Figma, use Pixlore to export the design layers, and finally polish it with our professional design skills. The efficiency is through the roof 🛫.

Our old workflow used to be the standard waterfall:
Requirements → Wireframes → Visual Design (UI) → Handoff → Development.

But now, a lot of the time, I'll just use an LLM to run through a prototype of the core interactions first.
For example, when dealing with a complex user flow, component states, or tricky interaction logic, I use an LLM (like Claude or GPT) to quickly generate a runnable mini-demo. By getting my hands on it and testing it out myself, it's so easy to spot issues I would have never caught during the static mockup phase.

A lot of UX pitfalls aren't actually found during design reviews; they are discovered when you actually "use" the product. Exposing these problems early saves you from the painful, endless reworks during the dev handoff stage.

📉 But here comes the new bottleneck:
The UI generated by LLMs is usually pretty far from a production-ready design. If you try to tweak visual details purely through prompting, it’s incredibly random. It’s hard to control precisely and can drive you absolutely crazy.

🛠The closed-loop approach that's been working really well for me lately is this:
First, use LLMs to quickly generate and test the interaction logic ➡️ Then, import that structure back into Figma to reorganize and refine the UI details.

Lately, I’ve been heavily using a Figma plugin:Pixlore.
It takes the AI-generated HTML page structure and converts it directly into Figma layers with one click. Plus, the converted component structure is actually clean, so you don't have to manually rebuild the skeleton from scratch.

The biggest advantage of this workflow is: you use AI upfront to validate the solution (Fast), and then you use Figma on the backend to polish the UI (Precise). Letting tools do what they do best makes the entire design process so much smoother.

What's the biggest bottleneck you guys are facing when using LLMs in your daily work? Let's chat in the comments 👇

The plugin I mentioned: https://pixlore.newportai.com/despilot-server/operation/trace/promotion/vf-xj-20260318

The Design Workflow Has Changed

Maya — Wed, 18 Mar 2026 13:02:18 +0000

Our old workflow used to be the standard waterfall:
Requirements → Wireframes → Visual Design (UI) → Handoff → Development.

🛠 The closed-loop approach that's been working really well for me lately is this:
First, use LLMs to quickly generate and test the interaction logic ➡️ Then, import that structure back into Figma to reorganize and refine the UI details.

What's the biggest bottleneck you guys are facing when using LLMs in your daily work? Let's chat in the comments 👇

The plugin I mentioned: https://pixlore.newportai.com/despilot-server/operation/trace/promotion/dt-xj-20260318

Live URL to Figma Auto Layout in 20s

Maya — Wed, 11 Mar 2026 13:25:23 +0000

We’ve all been there: A competitor audit or a legacy redesign lands on your desk, and you spend the next 4 hours acting like a "human scanner"—taking screenshots and manually rebuilding layers in Figma.

I’ve always believed that Logic > Pixels, and today I stumbled upon a workflow that actually proves it.

I randomly tried Pixlore for a deep-dive audit, and the result was honestly mind-blowing. Instead of a flat image or a mess of "Group 1, Group 2" layers, it parsed a live URL into clean, structured Figma layers with Auto Layout in less than 20 seconds.

Why this matters for DesignOps:

Code-Level Accuracy: It doesn't just guess; it reads the underlying CSS/HTML to restore spacing and typography.

Production-Ready: The output is actually editable. You can tweak the layout immediately instead of spending hours fixing "Layer Spaghetti."

Focus on Thinking: It saves me from the grunt work so I can focus on the information architecture and UX logic.

If you're still "tracing" websites in 2026, you're losing valuable EOD time. Definitely worth adding Pixlore to your toolkit if you want to bridge the gap between Code and Canvas.

Have you guys found any other tools that actually respect Auto Layout during a clone? Let’s talk in the comments! 👇

link here:https://pixlore.newportai.com/despilot-server/operation/trace/promotion/dt-xj-20260311

Stop building "Unbuildable" UIs

Maya — Tue, 10 Mar 2026 13:07:33 +0000

The "Perfect" Design is a Bug Report

I’ve spent years in the design trenches, and if there’s one thing I’ve learned, it’s this: *A beautiful design that ignores technical constraints isn’t art—it’s a bug report waiting to happen.
*
We’ve all seen it. A Figma file with 500 variants, nested "spaghetti" layers, and shadows that defy the laws of CSS. It looks stunning on a Retina display, but the moment it hits a real-world browser, the logic falls apart.

The Great Disconnect

As designers, we often get intoxicated by the "Visuals." We spend hours tweaking a corner radius but zero minutes thinking about the Box Model.

But in 2026, the gap between "Canvas" and "Code" should be shrinking, not growing. When we design without understanding the underlying logic, we aren't just making life hard for developers—we are failing the end user.

**"A UI without logic is just a high-fidelity hallucination."**

Why "Logic > Pixels" Matters

If we want to build products that actually scale, we need to shift our mindset:

1.Respect the Stack: If it can’t be expressed in CSS or Flexbox, should it even be in your Figma file?

2.Design for Edge Cases, not Happy Paths: What happens when the text is in German? What happens on a 3G connection?

3.Structure over Style: A clean layer hierarchy that mirrors DOM structure is worth more than a trendy glassmorphism effect.

Let's Talk

I’m curious to hear from the dev side:

What is the one thing designers do in Figma that makes you want to close your laptop and walk away?
And for designers: How are you bridging the gap between your "Canvas" and the "Production Code"?

Let’s hash it out in the comments. 👇

design #development #ux #productivity #webdev

From live URL to clean Auto Layout in 60s: A DesignOps breakthrough.

Maya — Tue, 10 Mar 2026 12:34:37 +0000

Following up on my last post about AI making "loud" (and often wrong) assumptions about UX logic—I’ve been thinking a lot about the other side of the struggle. Even when we have the logic right, the manual labor of "re-creating" existing UIs for audits or redesigns is a total creative drain.

We’ve all been there: Your boss or client wants a 1:1 Figma replica of a live site by EOD. You spend hours taking screenshots, guessing paddings, and manually tracing layers. It’s 2026, and this "screenshot-to-Figma" loop still feels like it’s stuck in the dark ages.

I’ve been deep-diving into a tool called Pixlore, and it’s honestly the closest thing I’ve found to a "magic bridge" between the browser and Figma.

Instead of just "cloning" the pixels, it actually parses the underlying HTML/CSS code to reconstruct the UI into native, editable Figma layers.

Why it’s a game-changer for my workflow:

It understands Auto Layout: It doesn’t just spit out flat groups. It tries to respect the structural nesting, making the output actually production-ready, not just a visual mess.

Code-Level Restoration: It grabs the exact hex codes, typography scales, and assets directly from the source code. No more guessing.

UX Reverse-Engineering: Beyond just UI, it can actually help deconstruct complex user flows into Information Architecture (IA) maps, which helps fix the "AI logic" problem I mentioned before.

How it works :
You can just paste a URL into the plugin, or use their Chrome extension to capture pages behind logins (like private dashboards). In about 60 seconds, you go from a live site to a structured design file.

As designers, our value is in solving logical problems and making strategic decisions, not in being "human scanners." Tools like this are finally letting us focus on the Logic over Pixels.

I’d love to know—how are you all handling legacy redesigns or competitor audits? Still doing it the manual way, or have you found a better bridge?

Check it out here:https://pixlore.newportai.com/despilot-server/operation/trace/promotion/vf-xj-20260305

Beyond Pixels: Why I stopped "tracing" websites and started parsing them.

Maya — Thu, 05 Mar 2026 13:21:21 +0000

Let’s be honest: Manual UI cloning is the ultimate "low-leverage" task.

We’ve all been in that spot where a client or stakeholder asks for a redesign of a legacy site, or a deep-dive audit of a competitor’s UI. The "traditional" workflow? Screenshot, drop into Figma, and spend 4 hours manually guessing paddings and typography scales.

It’s repetitive, it’s error-prone, and frankly, it’s a waste of our strategic brainpower.

I’ve been experimenting with a more "engineering-first" approach using Pixlore, and it’s completely changed how I handle these "design-backflow" tasks.

What makes it different from standard visual clones?
Most tools just give you a flat image or a mess of "Group 1, Group 2" folders. From what I’ve seen in my recent workflow, Pixlore actually parses the underlying HTML/CSS code.

The Technical Edge:

Production-Ready Auto Layout: It doesn't just drop shapes; it attempts to reconstruct the structural nesting. You get editable Figma layers that actually respect Auto Layout constraints.

Code-Level Restoration: It pulls exact hex codes, font families, and spacing values directly from the site’s CSS. No more "eye-balling" the margin.

Handling the "Hidden" Web: Using their Chrome extension, I can even capture complex dashboards or private pages that are sitting behind a login—something standard URL-crawlers always fail at.

The Shift from "Human Scanner" to "UX Architect":
By automating the "screenshot-to-Figma" part, I’ve found I can jump straight into the Logic and Strategy of a redesign within 60 seconds of starting a project.

If we want AI and automation to actually help us, it shouldn't just generate random "eye-candy." It should give us back the time to focus on Information Architecture and user intent.

I’m curious—for those of you doing legacy migrations or heavy competitor research, what’s your current "bridge" between the live web and your design files? Are we still tracing pixels in 2026?

Try the workflow:https://pixlore.newportai.com/despilot-server/operation/trace/promotion/dt-xj-20260305

AI is great at "pixel-pushing," but it’s still clueless about UX logic. Let’s be real.

Maya — Wed, 04 Mar 2026 07:27:11 +0000

Is it just me, or is anyone else getting a bit exhausted by the endless "AI design magic" on our feeds?

Don't get me wrong—I love a good shortcut as much as the next designer. But lately, I’ve noticed a massive elephant in the room: AI is becoming obsessed with the surface, and it's making some pretty "loud" (and often wrong) assumptions under the hood.

You’ve seen it: you give an AI a prompt for a "complex dashboard," and it spits out something visually stunning in seconds. It looks like a Dribbble masterpiece. But the moment you try to actually use it? The Information Architecture (IA) is a mess. The logical flow makes no sense. The data hierarchy is just… gone.

It’s like hiring an intern who’s incredible at adding drop shadows and glassmorphism, but jumps straight into Figma before even asking what the product actually does.

Generating "eye-candy" pixels is only about 10% of our job. The real heavy lifting is in the structural decisions—the logical nesting that makes a complex system actually functional. Right now, AI feels like it’s skipping the wireframing phase entirely and going straight to the "make it pretty" phase.

I’m curious—how are you all dealing with this? Are you using AI just for rapid mood-boarding, or have you found a way to make it actually respect the UX logic and structural integrity of a design?

Or are we all just destined to spend our afternoons "cleaning up" after AI? Would love to hear some honest takes.