Why More Code Doesn’t Necessarily Mean More Progress

This article argues that while AI has dramatically accelerated code generation, software delivery systems—CI pipelines, code reviews, and approval processes—haven’t kept pace. The result is a new bottleneck in engineering workflows, where decision latency and slow feedback loops stall progress. To fully benefit from AI, teams must optimize infrastructure, streamline processes, and reinforce ownership, ensuring speed gains don’t come at the cost of quality.