It started as a small experiment.
I had been working with AI for about eight months at that point. The sessions felt productive. Features were getting built faster than before. The general sense was that the AI was saving time and the workflow was better than without it.
But I had a nagging feeling that some of that time was going somewhere it should not. The corrections at the end of each session. The adjustments before a pull request. The small fixes that felt automatic, barely worth noticing individually.
So I started writing them down. Not obsessively. Just a rough log at the end of each session. What I corrected, approximately how long it took.
Two weeks later I looked at the numbers. The correction time was not small. It was not the minor overhead I had assumed. It was a significant portion of every session. And when I projected it across a month, across a year, it was a number that made me stop and think seriously about what I was actually doing.
