Your Design Stack Is About to Split. Here's Where to Draw the Lines

A year ago your team designed in one tool, built decks in another, and handed off code in a third. That split is closing fast. AI tools now take an idea and spit out working code, a slide deck, or an interactive prototype from a prompt. The upside is real. So is the risk of your stack turning into a mess of half-overlapping surfaces. Let me catch you up.

Code is the new canvas

The shift under all of this is what these tools actually produce. Claude Design does not generate flat pictures of interfaces. It generates real, working code, which is why its prototypes have working navigation, embedded video, and voice input. You can click through them because a browser is running them.

Figma moved the same direction from the other end. Its new properties panel and annotations in Figma Make let you drag padding and font weights with familiar controls, and the agent updates the underlying code to match. Figma's own line: "what you build visually is what actually ships."

The practical read for your team: prototypes are starting to arrive as code, not comps. That changes what handoff even means.

The overlap is the problem, not the feature

Claude Design doesn't cleanly replace one tool. It steps on Figma, Canva, and vibecoding tools like v0 and Lovable all at once. That is what makes it useful and also what makes it easy to misuse if you expect it to behave like the tool you already know.

Here are the lines that hold up. Reach for Claude Design or Figma Make to move from idea to something clickable fast, especially when the output is headed toward code. Reach for Figma when you need pixel precision or a big team on one complex system. Reach for a vibecoding tool when the real goal is a deployed app, not a design artifact that still needs a build step.

If you don't draw these lines, your team will, badly, one project at a time.

Decks are picking a tool by who reads them

Presentations are getting pulled in too. Gamma generates a full deck from a topic or an outline in minutes, and it handles narrative, visuals, and delivery mechanics in one place. It is strong for decks people read alone, since each frame can carry more context than a slide built to support a live speaker.

Where it falls down is control. Gamma's own docs note advanced image editing isn't supported inside the editor, so it struggles with pixel-perfect screens, custom flows, and precise annotations. The clean rule to hand your team: pick the deck tool by who consumes it. Read alone goes to Gamma. Presented live with product work as the subject goes to Figma Slides. Handed off and edited by strangers goes to PowerPoint.

The setup step your team will skip

The biggest quality gap in these tools traces to one boring step. In Claude Design, a vague prompt gets a portfolio-template result almost every time, and the fix is a design system, not a better prompt. Set it up once with your real colors, fonts, and logos, and every project after that inherits your brand instead of a generic default.

There's a smart order of operations worth stealing here. If your brand assets are scattered across a dozen old decks, use Claude Cowork first to pull them into one clean document, then feed that into Claude Design's system setup. The system it builds starts from something coherent instead of forty conflicting screenshots.

Set up right, a published design system applies at the org level, so the next person's project starts from the same components automatically.

The deep cut

The part that actually changes your Monday is plumbing, not the pretty output. One engineer built an MCP server in 30 minutes and both Claude Desktop and Cursor could call the same API with zero custom adapters. Before that, he'd spent four weekends writing three copies of the same auth and error-handling code, one per client.

That matters for design leaders more than it looks. MCP is a shared protocol that lets AI tools talk to your systems once instead of per tool. If your prototyping surfaces multiply, and they will, MCP is how they connect to your real data and design system without a custom bridge for each one. Decide your protocol layer now, while you still have two tools, not six.

Three questions for your team

• What is our one-line rule for when a designer opens Claude Design or Figma Make versus Figma proper, and does the team actually know it?
• Do we have a published design system feeding these AI tools, or is everyone starting from a vague prompt and getting the same template?
• If we adopt two or three of these surfaces, what connects them to our data and components, and are we standardizing on something like MCP before the stack fragments?