The author used Google's Gemini in AI Studio to generate an Android gardening app for organizing yard chores, weather-aware care, and plant diagnosis. Gemini quickly produced a working prototype, but the app needed repeated fixes for readability, scheduling, editing, live weather, and task logic. The experience showed that AI can be genuinely useful for narrow tasks, while still lacking real-world judgment and requiring clear human direction.
Jane Street designer Edwin Morris describes moving from skepticism about LLMs to using Claude as a core design tool. Instead of relying mainly on specs and Figma mockups, he now builds working prototypes directly in the real codebase. The post also explores the collaboration risks: prototypes must remain disposable proposals, not finished features that shut reviewers out of design input.