#prototyping

#prototyping

AI design tools are everywhere right now. But here's the question every designer is asking: Do they actually solve real UI problems - or just generate pretty mockups? To find out, I ran a simple experiment with one rule: no cherry-picking, no reruns - just raw, first-attempt results. I fed 10 common UI design prompts - from accessibility and error handling to minimalist layouts - into 5 different AI tools. The goal? To see which AI came closest to solving real design challenges, unfiltered.

Behind every seamless user interface, stylish wearable, or smart home device you love is a carefully crafted product design process-built through iteration, research, and hours of fine-tuning by product designers obsessing over every detail, right down to the last pixel. But, too often, teams jump from idea to execution, skipping the critical groundwork. The result? Products that look good on paper but fall flat in the real world.

Our job is to prototype new ideas and test viability. If we come across something that looks viable, help it graduate out and become a real GitHub product.

Figma may work for some, but not every creative workflow fits neatly into its AI ecosystem.

Microsoft's new file-based apps capability for C# allows developers to run stand-alone .cs files directly, simplifying development and enhancing learning opportunities.

Instead of fighting these limitations, I decided to work directly with the tools our engineers use.

AI is reshaping UI design workflows, enhancing efficiency from concept to prototype through innovative tools that automate and streamline the design process.

Anima's new Playground allows designers to seamlessly export their projects from design to code, enhancing workflow efficiency for those using interactive 3D objects.