From Idea to Working Prototype: How AI Changed My Development Process
I've had a notes app full of ideas for years. Features half-sketched out, product names brainstormed and abandoned, market problems I noticed and never did anything about. Most developers I know have the same folder — a graveyard of "someday" projects that never quite made it to "today." The gap between a good idea and a working product isn't usually talent or even time. It's friction. Every step from "I should build this" to "here is the thing I built" involves decisions, research, boilerplate, debugging, and dozens of small tasks that accumulate until the energy for the original idea has quietly drained away. Earlier this year, I decided to see whether AI could meaningfully close that gap. I had one idea I'd been sitting on for eight months — a lightweight tool to help freelancers track which clients owed them money and automate follow-up reminders. Simple concept. Real problem. I'd been putting it off because building it ...