Best Design-to-Code AI Tools for Developers

November 28, 2024 (3w ago)

Transforming design concepts into functional code is a crucial step in the development process. Design-to-code tools are changing the way we build software, making it faster and more efficient to translate UI designs into clean, functional and production-ready code. In this article, we'll explore some of the best design-to-code tools available today: CodeParrot AI, Dhiwise, Locofy, and AnimaApp.

We'll discuss their features, use cases, and what makes them stand out in the design-to-code space.

CodeParrot AI

CodeParrot AI stands out as a developer-friendly tool that focuses on creating highly maintainable code. It enables developers to reuse existing components, apply predefined themes, and adhere to best practices, ensuring clean and scalable output.

CodeParrot AI

Let's dive into how CodeParrot AI looks and feels.

CodeParrot AI

As we can see, after installing the extension, we see a chat input which prompts us to enter our design. We can also select the framework we want to use, and also the language. In the screenshot above, we have selected React and Typescript.

CodeParrot AI

We can further specify more context in the Coding Standards section, which is nice! It allows us to specify things like: Component Naming, File Structure, File Path, etc. This is a really cool addition to the tool, as it allows us to customize the output to our needs.

We can also reuse existing components by just referencing them using an @ symbol. Just type in the name of the component, and it will be added to the chat history. We also have the option to directly attach figma components to the chat, and it will reference that to generate the code. An option to edit the existing file is also given.

Let's summarize what we have so far.

Dhiwise

Dhiwise is a tool that allows us to generate code from Figma designs. It works inside Figma as a plugin, and it allows us to generate code in a lot of different languages and frameworks. We can also use their website where they have a list of templates to get started.

Dhiwise

After signing up, I was directed to this screen where we can select between a Mobile App or a Web App.

Dhiwise

After clicking one of the options, I was shown a few templates and categories to get started. After selecting a template, I was shown some screens and was asked to select the screens I want to generate code for.

Dhiwise

Once I proceed, it asks for a framework and a language, Along with the design system as well.

Then it asks for our title and favicon if we want to customize it. Then, it also asks for our preferred bundler choice and we have the option to add our css files as well.

Dhiwise

Then I was shown an editor which code for each component.

Woof! That was a lot. Let's summarize what we have so far.

A similar process can be followed for Figma as well.

Locofy

Locofy is a powerful design-to-code platform that transforms Figma and Adobe XD designs into production-ready frontend code. With its AI-powered technology, Locofy can generate clean, maintainable code for web and mobile applications while preserving design fidelity and responsiveness.

Locofy

Here are some of the features that Locofy offers:

Anima App

Anima App is a design-to-code solution that bridges the gap between designers and developers by converting designs into high-quality code that developers actually want to use. It stands out for its ability to generate clean, production-ready code while maintaining pixel-perfect design accuracy.

Anima App

Here are some of the features that Anima App offers:

Conclusion

Each of these tools has its own strengths, and choosing the right one depends on your specific needs:

CodeParrot AI is best when:

Dhiwise is ideal when:

Locofy works best when:

Anima App is great when:

For beginners or those looking for a straightforward solution, CodeParrot AI or Locofy might be the best choice due to their user-friendly interfaces. For larger teams working on complex projects, Anima App or Dhiwise could be more suitable due to their comprehensive feature sets.

Remember, the best tool is the one that fits your workflow and helps you deliver quality code faster. It's worth trying a few of these tools on small projects first to see which one matches your needs before committing to a larger project.