Why the interface drifts in vibe-coded products, and how to pull it back together

AI-assisted development, widely known as vibe coding, has changed how fast software teams ship. With tools such as Cursor, Claude Code or Lovable, a team describes a screen and sees a working version shortly after. The road from idea to first release has never been shorter.

That speed has a hidden cost: as the product grows, the interface drifts. Each screen looks reasonable on its own, but side by side they no longer feel like one product.

Why does the interface drift as speed goes up?

An AI coding tool looks at the task in front of it and part of the code. Unless you tell it, it doesn't know the rules of the product as a whole. When it needs a button, a spacing value or a colour, it picks whatever is reasonable at that moment. On the next screen it makes another reasonable choice.

When several people work on the same product, each describes things slightly differently and the tool produces slightly different results. Nobody is doing anything wrong; there is simply no shared standard. In classic development this drift built up over weeks. Now it builds up in days.

Five signs of drift

• There is more than one button style for the same job.
• Spacing, corner radius and type sizes change from screen to screen.
• Empty, error and loading states are missing, or different on every screen.
• The same thing has different names on different screens; the tone is inconsistent.
• Flows don't connect; after finishing a task, users don't know where to go next.

If you see two of these in your product, the problem has started. Users rarely name inconsistency; they find the product unreliable or unfinished.

How to pull it back together without slowing the team down

The answer isn't redesigning every screen or giving up speed. It's setting a standard your AI tools follow too. This is the order we work in:

• Take an inventory: put the product's screens side by side and list the different components doing the same job, and the missing states.
• Extract the standard from the existing code: turn colour, type and spacing values into tokens and the most used pieces into shared components. There's no need to start from scratch.
• Write the rules down and give them to your tools: record which component to use when, the spacing scale and the states every screen needs in the rule files your team's AI coding tool reads.
• Design important flows first: before describing a big feature, settle its flow and states. A clear target gives a clearer result.
• Review before release: add a short UX check to interface changes in preview builds or code review.

Once rules and components are clear, the team stops rethinking every screen and the tool produces more consistent screens from the start. The speed stays, and less time goes into fixes.

How we work

We do this alongside teams that build with AI tools: your team keeps writing the code, and we standardise the interface, align it with UX rules and tie it to a system you can carry forward. More on our UI/UX consulting page.

If you see these signs in your product, we can look at where things stand together in an intro call.