The Figma-to-deploy shortcut, and what it costs you later

The demo

A designer hands you a Figma file. Ten minutes later it is deployed in your codebase, conforming to your conventions, wired to your auth, talking to your services. No engineer touched it.

This is the killer demo for AI-native engineering platforms. It works. I have watched it work in front of skeptical CTOs more times than I can count.

The catch

The demo is the easy part. The hard part is what happens on day two.

- The component does not match your design system. Not exactly. It is close. It is closer than a junior would produce. It is not yours.

- The state management does not match your conventions. Again, close. Not yours.

- The tests pass, but they are the wrong tests. They test the implementation. Your team tests the behaviour.

What the platform has to solve

The hard work for an AI-native platform is not the first ten minutes. It is the next ten months: the curation of the team's conventions into something the engine can apply consistently.

This is the part most demos skip. This is the part CAIA is building.

Filed in AI-Native Engineering Platforms

Tags: CAIA · Figma · AI agents