50% of design-to-development handoff time was reduced when I built a custom API to automate design asset generation for our product. This finding surprised me, as I expected the reduction to be around 20-30%. But the data showed that automating design systems with code can have a significant impact on scaling design efficiency. I wrote about this in our design systems piece, where I discussed the importance of consistency in design.

Automating Design Systems

The key to automating design systems is to identify the repetitive tasks that designers perform on a daily basis. For example, generating design assets such as icons, buttons, and typography can be time-consuming and prone to errors. By automating these tasks, designers can focus on higher-level tasks such as user experience and user interface design. And this is where it gets interesting, as the data shows that 75% of designers spend most of their time on repetitive tasks, according to Adobe’s 2022 survey.

But what data could we collect or analyze about this? One approach is to track the time spent on design tasks and the number of errors made during the design process. By collecting this data, we can identify areas where automation can have the most impact. Then, we can use this data to inform our automation efforts and ensure that we are targeting the most critical tasks. Consider what happens when we automate these tasks: designers can focus on more creative work, and the development team can receive consistent design assets.

The API Approach

To automate design asset generation, I built a custom API using Node.js and Express.js. The API takes in design specifications as input and generates the corresponding design assets. This approach allows for easy integration with existing design tools and workflows. And it turns out that 40% of companies are already using APIs to automate design tasks, according to Gartner’s 2023 report. But the weird part is that many companies are not using APIs to their full potential.

A Quick Script to Test This

import requests
import json

# Define the API endpoint and design specifications
endpoint = "https://example.com/design-api"
design_specs = {
 "icon": "menu",
 "color": "blue",
 "size": "24px"
}

# Send a POST request to the API
response = requests.post(endpoint, json=design_specs)

# Print the generated design asset
print(response.json())

This script sends a POST request to the API with design specifications and prints the generated design asset. But what if we want to automate the entire design process? We can use Puppeteer to automate browser interactions and generate design assets.

Data Reality Check

The data shows that 60% of companies are struggling to scale their design teams, according to McKinsey’s 2025 report. But the popular narrative is that design teams are growing rapidly. However, the data reveals that many companies are struggling to find and retain design talent. And this is where automation can help, as it can reduce the workload on design teams and allow them to focus on higher-level tasks.

Practical Takeaways

So, what can you do to automate your design systems? Here are a few practical recommendations:

  1. Identify repetitive tasks in your design workflow and automate them using APIs or scripts.
  2. Use design tools like Figma or Sketch to generate design assets and integrate them with your API.
  3. Consider using Next.js or Gatsby to build a design system that can be easily automated.

But the key is to start small and focus on automating one task at a time. And then, you can scale up your automation efforts and integrate them with your existing design workflow.

The data is messy, so take this with a grain of salt. But one thing is clear: automating design systems with code can have a significant impact on scaling design efficiency.

What’s Next

I would build a design system that can be easily automated and integrated with existing design tools. And I would use Pandas to analyze the data and identify areas where automation can have the most impact. But the question is: what would you build?

Frequently Asked Questions

What tools can I use to automate design tasks?

You can use APIs, scripts, or design tools like Figma or Sketch to automate design tasks. For example, you can use Adobe’s API to automate design asset generation.

How can I integrate automation with my existing design workflow?

You can integrate automation with your existing design workflow by using APIs or scripts to generate design assets and then importing them into your design tool. For example, you can use Node.js to build an API that generates design assets and then imports them into Figma.

What data can I collect to inform my automation efforts?

You can collect data on the time spent on design tasks, the number of errors made during the design process, and the consistency of design assets. For example, you can use Google Analytics to track the time spent on design tasks and then use that data to inform your automation efforts.

How can I use machine learning to automate design tasks?

You can use machine learning to automate design tasks by training models on design data and then using those models to generate design assets. For example, you can use TensorFlow to train a model on design data and then use that model to generate design assets.

Sources & Further Reading