Figma’s AI tool can now edit production codebases. The line between designer and developer keeps getting thinner.
For years, the handoff between designers and developers has been one of tech’s most familiar rituals.
Designers create the mockups. Developers build the product. Everyone argues over what changed between the design file and the final version.
Figma seems ready to break that workflow apart.
The company announced that Figma Make can now connect directly to production or sandbox code repositories, allowing teams to visually edit real software and push changes into actual codebases. That means a designer could adjust elements within Figma, and an AI agent would handle the code changes behind the scenes.
That’s a much bigger step than generating prototypes.
Figma Make originally focused on turning designs into interactive experiences. Now it’s moving closer to the part of the workflow that traditionally belonged to engineers. According to Figma, teams can connect repositories, make edits using a visual interface or natural language prompts, and even open pull requests without touching a terminal.
You can already see why companies would be interested.
Every product team wants to move faster. Designers often get frustrated waiting for small UI changes to make it into production. Developers get buried under endless requests for minor tweaks. Figma is essentially pitching AI as the bridge between those two worlds.
The question is whether that bridge stays reliable when real code is involved.
Making a prototype look right is one thing. Editing production software is another. Design decisions often have consequences that aren’t visible on the screen, from performance issues to technical dependencies.
That’s why this announcement feels more like part of a larger shift happening across tech.
AI tools are steadily moving from helping people create ideas to helping them ship products. The goal is no longer just generating concepts. It’s reducing the number of steps between idea and execution.
Figma clearly sees an opportunity there.
The company built its reputation by becoming the place where products are designed. Now it seems to be aiming for something bigger: becoming the place where products get built, too.
And if AI keeps improving, the old line between design and development may start looking a lot less permanent than it once did.
