I’ve been at Lovable for five weeks and yeah… I’m not in Kansas anymore. This company operates on a completely different level – and as someone who’s spent my entire career in traditional tech, I’m seeing a very different pattern here that’s worth sharing.
So a big theme of this conversation is how to identify the right opportunities to design AI into a product that’s already working. Ioana shares a bunch of stories and lessons learned from her time at Miro as well as a refreshing perspective on AI and design as whole that i think will resonate with a lot of you.
With that in mind, we’re focused on increasing the number of designers who receive leads and the number of leads each designer receives, with work underway to improve every facet of the conversion funnel.
In this process we never think to ask if abdicating our creative judgment almost completely to the Large Language Model gods is a good idea. It’s like we’re a tribe of primitive Luddites offering up our drudgery in return for a magical oracle that only rewards the loudest acolytes.
In the spirit of 12 Factor Apps. The source for this project is public at https://github.com/humanlayer/12-factor-agents, and I welcome your feedback and contributions. Let’s figure this out together!
When you hear “whiteboard,” the first thing that probably comes to mind is a classic brainstorming session filled with sticky notes, doodles, and scattered ideas.
After 6 months of hard work, we’re launching Flowbite Design System v3.0! – fully integrated native tokens and variables – refreshed all UI components with modern 2025 design – massively improved performance and memory usage – improved usage documentation and more.
Beyond boosting efficiency, the strongest software developers use AI to explore the problem space and find more creative solutions. Figma’s Vice President of Software Engineering Marcel Weekes and Developer Advocate Jake Albaugh share the crucial skills engineers should learn to meet the moment.
Smart AI assistants are sophisticated software tools powered by artificial intelligence designed to assist users in completing tasks, answering questions, and organizing information. Far beyond simple chatbots that follow pre-programmed scripts, these assistants use advanced algorithms, machine learning, and natural language processing (NLP) to understand human language, learn from interactions, and provide intelligent, context-aware support.
Imagine your user is cooking, their hands are covered in flour, and they want to add milk to their shopping list app. They can’t touch the screen. What if they could just say, “Hey, Listify, add milk to my shopping list”? Just like that, it’s done.
