back to top
HomeTechPicksI Thought Figma Was Untouchable — Until This Open-Source AI Tool Designed...

I Thought Figma Was Untouchable — Until This Open-Source AI Tool Designed My UI

- Advertisement -

I’ve used Figma. I’ve used Adobe XD. And for most design work they do the job fine — if you’re okay with paying for them and okay with your files living on someone else’s server.

I wasn’t looking for a replacement. I just stumbled across OpenPencil while browsing GitHub one evening and the one thing that caught my attention wasn’t the canvas or the components. It was the MCP server built directly into the tool.

An AI agent that can read, create and modify your design files from the terminal. That’s not a plugin. That’s a different way of thinking about design tools entirely.

I installed it, connected it to Claude Code, created a sample design and spent some time with it. Here’s what I actually found.

What is OpenPencil (In a Nutshell)

OpenPencil is an open-source design tool built for developers who’d rather type than click. Describe what you want, and the AI breaks it into spatial chunks and generates them in parallel on a canvas, you watch the layout appear rather than build it by hand.

The MCP server is probably the most interesting part. It’s built in, which means Claude Code, Codex, or any MCP-compatible agent can read and modify your design files.

The part that actually got my attention

openpencil app screenshot

You can use it completely offline as a regular design tool — import your Figma files, tweak layouts, adjust components, work with shapes and UI elements manually. No internet needed for that part. It works like any other desktop design app.

But connect it to Claude Code, Codex, Gemini or OpenCode CLI and it becomes something else entirely. You describe what you want — a login form, a dashboard layout, a settings page — and the AI agent generates it directly on the canvas. You can then manually adjust whatever it gets wrong, which in my experience is always something small.

The part I found genuinely interesting is how it saves files. Everything exports as a .op file. Open it in any text editor and it’s just JSON — clean, readable, Git friendly. No proprietary binary format, no locked ecosystem. Your designs are just data you actually own.

That combination of offline capable, agent powered when you want it, open file format, is what makes it powerful.

How it compares to Figma

I went further and actually compared it against Figma since that’s what most people use.

FeatureFigmaOpenPencil
Price$16-90/month per seatFree to use
Open sourceNoYes (MIT)
AI built in nativelyPaid AI credits onlyYes via CLI agents
MCP serverNoBuilt in
Figma file importN/AYes (.fig files)
Code exportDev seat required ($12-35/mo)React, Tailwind, HTML free
File formatProprietary.op (JSON, Git friendly)
Works offlineYesYes for manual design
Self hostableNoYes
Desktop appYesYes (Mac, Windows, Linux)

The number that stood out to me was the Dev seat on Figma, $12/month on Professional, $35/month on Organization, just to inspect code and hand off to developers. OpenPencil generates React, Tailwind and HTML directly at no extra cost.

One thing worth being honest about is OpenPencil isn’t completely free if you want the AI features. You’ll need an active subscription or API access with Claude, Codex, Gemini or OpenCode to use the agent capabilities. But if you already have a plan with any of those providers, you’re not paying anything extra. You’re just plugging in what you already use.

For solo developers or small teams who just need a design tool that talks to their existing AI setup, the cost difference is still hard to ignore.

A few things to know before you try it

First thing you’ll hit, the AI agent features don’t just work out of the box. You need the CLI installed separately first. Claude Code CLI, Codex CLI, Gemini CLI or OpenCode CLI depending on which provider you use. The app tells you clearly when something’s missing but it’s worth knowing before you go in expecting instant AI generation.

The AI features also need internet. If you’re using Claude or Codex for generation you’re still making API calls to cloud servers. The offline part is only for manual design work — shapes, layouts, components, Figma imports. Fully local AI generation isn’t there yet.

Collaborative editing is still on the roadmap. So if you’re expecting a drop-in Figma replacement for a team that works together in real time, this isn’t that yet. It’s currently better suited for solo developers or designers working independently.

Boolean operations — union, subtract, intersect — are also not available yet. For complex vector work that’s a real gap.

It’s a young project. MIT licensed, still actively building. The bones are solid but some features that feel standard in mature design tools are still coming.

None of this is a dealbreaker depending on what you need it for. Just worth knowing upfront.

Closing Thoughts

If you’re a developer who already has Claude or Codex in your workflow, the idea of a design tool that speaks the same language — MCP, agents, code export — is genuinely interesting. I hadn’t seen that combination in an open source tool before.

Import your Figma files, connect your existing AI setup, export clean React and Tailwind. For personal projects or solo work that’s a pretty compelling package.

It’s early. But early is when it’s worth paying attention.

LEAVE A REPLY

Please enter your comment!
Please enter your name here

- Advertisment -
YOU MAY ALSO LIKE
Reka Edge is The 7B Multimodal AI Model That Beats Gemini 3 Pro on Object Detection

Reka Edge: The 7B Multimodal AI Model That Beats Gemini 3 Pro on Object...

0
Most people assume beating a Google model requires another massive frontier model. More parameters. More compute. That is just how the hierarchy usually works. Reka Edge is a 7-billion-parameter model. Yet it manages to outperform Gemini 3 Pro on object detection benchmarks, and with quantization it can even run on devices like the Samsung S25. That combination should not exist. A model small enough to fit on a phone outperforming a frontier AI system from Google on a specific but genuinely useful task is not something you expect to see in 2026. Yet here we are. This is not a model that beats Gemini at everything. It does not. But where it wins it wins convincingly.
Helios 14B AI Model That Generates Minute-Long Videos in Real Time

Helios: The 14B AI Model That Generates Minute-Long Videos in Real Time

0
Most open source video generation models make you wait. You write a prompt, hit generate, and then sit there hoping the output is what you imagined. If it is not you tweak the prompt and wait again. That loop gets old fast. Helios works differently. It generates video in real time at 19.5 frames per second on a single GPU. You can see it being created, interrupt mid generation if something looks off, tweak and continue. Up to a full minute of video without starting over every time something does not look right. With group offloading it runs on around 6GB of VRAM. Consumer GPU territory.
Open Source LLMs That Rival ChatGPT and Claude

7 Open Source LLMs That Rival ChatGPT and Claude

0
Two years ago if you wanted a genuinely capable AI model your options were basically ChatGPT, Claude, Gemini or Grok. Open source existed but the gap was real and everyone knew it. That gap is closing faster than most people expected. In some areas it is already gone. Today open source models do not just compete with closed source. Some of them beat closed source on specific benchmarks that actually matter. And the list of categories where that is true keeps getting longer. If you are curious about what open source AI actually looks like at full power or you are building something serious and evaluating your options this list is for you. One thing worth saying upfront, these are not consumer GPU friendly models. You will need serious hardware to run them at full capacity. Quantized versions exist for most of them but expect performance and quality to reflect that. I went through a lot of options to put this list together. These seven are the ones that actually made me stop and pay attention.

Don’t miss any Tech Story

Subscribe To Firethering NewsLetter

You Can Unsubscribe Anytime! Read more in our privacy policy