I look askance at an article that uses a GenAI survey from 2024. Other references could be good. But the dev agent milestone was Nov/Dev 2025, and CoPilot and agents were pretty sketch before then (but helpful at times.)
I like it. And if you don't know a codebase, like normal, spend some time learning in. Use the LLM to query it, create your own architecture diagrams. Get homey with it before making sweeping changes. Maybe make the first simple changes by hand.
I liked the two original experiments in the article, which in a microcosm gels with my 1+ year of deep agentic development. But I would like a whole article about his experience, and with which model (Opus? Fable? erg, Sonnet?) and effort he used.
I've progressed in using latest Claude-kins and the GPTs as usually competent teammate/buddies, and generally know to sort out the fluff confidence with the realz (shoot, that was how I was when I was but a wee little coder lad: overconfident because of an error-free compile and one non-segfault run.)
You have to put in the time, the skill creation, the system prompt/personalization, the (sometimes adversarial) automation, the testing, verification, kicking down the loop castles (as usually caused by being cheeky with highest effort levels.)
I have been doing this (vibecoding) for as long as the term vibecoding was coined. The amount of people I have met that describe the process like you did and then proceed to show the most soulless vibecoded app is staggering.
