I've been hearing a lot about AI's potential to build software, so I decided to run an experiment. I gave Loveable , an AI app builder, a detailed prompt to create a to-do app. I expected it to generate a standard React web app, and maybe suggest React Native for mobile. I was not expecting it to choose Ionic Capacitor . As the generation process unfolded, I saw the logs reference Capacitor and was genuinely surprised. It was an interesting, opinionated choice by the AI. This is the story of what happened next—the impressive AI debugging, the manual "last mile" to get it on a device, and what this surprising choice tells us about the future of AI in development. Phase 1: The Initial Prompt and Impressive Scaffolding I started with a clear set of requirements: a to-do app with role-based access (admin vs. user), image uploads, and comments, all powered by a Supabase backend. In just a few minutes, Loveable built a complete React application.…