Trading speed for quality: one developer's case for deliberate AI-assisted coding

Nolan Lawson argues that AI coding tools work best when you slow down and use them thoughtfully rather than chasing velocity. The insight flips the common productivity narrative: better code often comes from being more intentional about when and how you deploy AI assistance, not from maximizing lines-per-hour.