Dive Club 🤿

This week’s episode is with Pietro Schirano [https://x.com/skirano] who is the founder of the new design tool MagicPath [https://www.magicpath.ai/] and one of the true forward thinkers on AI. We go deep into the future of prototyping, design workflows, and what it takes to catalyze your career with AI. Some highlights: * How design workflows will evolve * Using AI as a collaborator not just a tool * How Pietro was able to build influence at Anthropic * Why interactive prototypes are becoming table stakes * What designers need to understand to master the models * Why design architects will be the highest paid role in the future * a lot more * DesignerGPT [https://chatgpt.com/g/g-2Eo3NxuS7-designergpt] (5 million users) * TweakCN [https://tweakcn.com/] * Origami (Facebook’s prototyping tool) [https://origami.design/] * Figma.ai [http://Figma.ai] domain purchase

This week I got an inside look at Figma Make [https://www.figma.com/make/] while talking to Holly [https://www.linkedin.com/in/hollyli2018/] and Nikolas [https://x.com/nikolasklein] all about the future of prototyping… We get into real world use cases for different kinds of prototypes and how our workflow is evolving as designers. One thing is abundantly clear, things aren’t so linear anymore. Some highlights: * How Figma Make fits into your workflow * Rethinking what “high fidelity” means for a prototype * How code is the glue and what it means for collaboration * What are the less obvious use cases for prototyping with AI * Meta prototyping with interactive playgrounds and inspect panels * a lot more * Figma Make - AI-powered prototyping tool within Figma [https://www.figma.com/make/] * Variables in Figma [https://help.figma.com/hc/en-us/articles/15339657135383-Guide-to-variables-in-Figma] * Advanced Prototyping in Figma [https://help.figma.com/hc/en-us/articles/17146044893591-Advanced-prototyping-examples]

Last month we did the ultimate Raycast Deep Dive [https://www.youtube.com/watch?v=Kgn-e5a5uZA], but there's a lot in there… so this week I want to highlight just the segment from the product design team. We go deep into how they collaborate, why they’ve started shipping more code, and what it takes to build a culture obsessed with craft. Don’t forget to use code DIVE20YT to get 20% off your first purchase of any Lovable plan ❤️ Valid until August 21, 2025. Go to dive.club/lovable [http://dive.club/lovable] to start creating Full Raycast episode - The Raycast Deep Dive [https://www.dive.club/deep-dives/raycast]

This week, Gunnar Gray [https://x.com/gunnargray] (Product Design Lead at Perplexity) dives into the art of designing AI-native experiences. He shares lessons from shaping Voice Mode and how prototyping with AI is changing the design process at Perplexity. Some highlights: * Why Perplexity is racing to get ideas into code * What it’s like designing at a hyper growth startup * What it’s like designing dynamic voice experiences * Gunnar’s journey learning metal shaders with Cursor * How Gunnar strategically invests in his design skillset * a lot more * Perplexity - AI-powered search and discovery platform [https://www.perplexity.ai/] * Cursor - AI-powered code editor [https://cursor.com/] * Particle News [https://apps.apple.com/us/app/particle-news/id6683283775] app

Cursor is easily one of the most impactful companies in all of tech… And this week's episode is with their Head of Design, Ryo Lu. You might've heard of Ryo in this episode [https://www.dive.club/deep-dives/ryo-lu] back when we talked about early Notion and systems design. So this week we're going to get an inside look at how design operates at Cursor and all of Ryo's experiments with AI 👀 Some highlights: * What Ryo believes about the future of HCI * How Ryo handles a barrage of user feedback * How Ryo approaches systems thinking at Cursor * How Ryo unified the core primitives of Cursor’s system * Laying the foundation for the future of Cursor’s system design * Inside Ryo’s design process and how he knows what to pursue * Why Ryo thinks specialization will matter less in an AI-enabled future * Why Ryo believes the future of interfaces will match how people think * a lot more