AI blogs

I'd been reading about developers shipping projects in a weekend for years. Hackathon stories. Launch Day posts. "I built this in two days" threads on developer forums. I always assumed those people had either a very simple idea or a very high tolerance for technical debt. Then I started wondering whether AI had changed the math. So I set myself a challenge: 48 hours, start to finish, one real full-stack web application. Not a toy project. Not a landing page. An actual app with a database, user authentication, a working frontend, a deployed backend, and at least one feature someone else could genuinely use. I started on a Friday evening and gave myself until Sunday evening to have something live. The rules were simple. I'd use AI at every stage — planning, design, coding, debugging — but I wouldn't ship anything I didn't understand or hadn't reviewed. Every decision about architecture, product scope, and user experience was mine. AI was the assistant. I...

A few weeks ago, I caught myself doing something I do too often: opening an AI coding assistant for one small function, then closing it again out of some vague sense that "real coding" shouldn't involve that much help. I'd use it for autocomplete, maybe a quick syntax check, then go back to typing everything else myself, like I was protecting some kind of professional integrity. That habit started to bug me. Was I actually being careful, or just stubborn? So I set myself one rule for the next seven days: for every coding-related task, I would use AI first. Not as a backup. Not as a last resort when I got stuck. First, every time, no exceptions. Boilerplate, debugging, documentation, even the tasks I usually enjoy doing myself. I expected one of two outcomes. Either I'd discover AI was overhyped and go back to my old habits with a clear conscience, or I'd discover I'd been wasting hours of my life doing things the slow way. I didn't expect the answe...

It was a Tuesday night, and I was staring at a ticket I had already estimated at five hours. Not five hours of "this might take a while." Five hours of "I already know exactly what I have to do, and I just have to grind through it." The deadline was the next morning. The client wanted a working demo. And I had a backend feature that needed three new API endpoints, a handful of database queries, input validation, and tests — the kind of task that isn't hard, just long. The boring kind of hard. I remember leaning back in my chair, opening my code editor, and feeling that familiar low-grade dread. Not panic. Just the tired acceptance of "okay, let's get this done." What I didn't expect was that by the time I closed my laptop that night, the task would be done in thirty minutes — and I'd spend the rest of the evening thinking about what that actually meant for how I work. The Project That Seemed Impossible The client was a mid-sized logis...