Solving It Once vs. Building It Forever

Sun, 19 Apr 2026 08:00:00 +0000

You describe a problem to an AI, and it solves it. Maybe it writes a script, generates a query, builds a working prototype. It’s fast, it’s impressive, and it works. This is the moment that breaks people’s mental models – because if AI can do the thing, surely it can build the thing. The leap feels small. It isn’t.

What the Highlight Reel Leaves Out

There’s an ad making the rounds right now that nails the moment. A developer working from his home office and his phone buzzes. It’s his product owner: we need a leaderboard for the game, can you get something up today? Cut to the developer typing in a few prompts in an AI coding tool. Cut to a working leaderboard, scores ticking up, and the dev celebrating the feature being delivered. Roll credits.

I don’t actually doubt the result. You probably can stand up something that looks like a working leaderboard in an afternoon with the right tools. The ad isn’t lying about what’s possible.

It’s quietly skipping what’s finished.

Between “the screen shows a sorted list of names and scores” and “this leaderboard is live for the game’s launch weekend” sits an entire mountain of work that gets cut from the highlight reel – and that split, between a single instance of AI producing a result and using AI to build a platform that services real customers, is where most people get it wrong.

Engineering on Justin Ivins' Blog

Solving It Once vs. Building It Forever

What the Highlight Reel Leaves Out