Why Humans Can't Keep Up With AI-Written Code - Tariq Shaukat, Sonar
AI agents are driving a 2450% explosion in code volume that humans cannot review fast enough
“You have an explosive growth of 2450% in the number of lines of code written.”
Sonar CEO Tariq Shaukat draws a parallel between 1980s manufacturing quality problems and today's AI-driven code explosion, citing a study showing a 2450% increase in lines of code written when asynchronous agents enter the development cycle. His core argument is that volume without quality gates creates a new class of software debt. He advocates applying Toyota Production System principles—quality over volume, fixing systems not symptoms—to AI-assisted software development.