How to Measure AI Coding ROI: Beyond Vanity Metrics
Most teams measuring AI coding ROI are looking at the wrong numbers. Developers feel faster, acceptance rates look great, and vendor dashboards show impressive gains — but when you trace those numbers back to shipped features and business outcomes, the story falls apart. The disconnect is real. The METR study found developers felt 24% faster with AI coding tools but were actually 19% slower — and still reported 20% perceived improvement afterward. That gap between perception and reality isn’t just a curiosity; it’s where your ROI evaporates. ...