AI Agents Write Code Faster, But Human Review Has Become the New Bottleneck

A growing shift in software development means engineers in 2026 now spend more time reviewing AI-generated code than writing it themselves, with surveys confirming review has overtaken authoring as the primary task. The problem is that while AI agents can produce code at scale, human attention remains finite, forcing developers into two bad options: micromanaging every agent step or approving output too quickly to fully evaluate. Industry advice to 'stop babysitting agents' has become common, but the alternative — letting agents run freely — creates a flood of output no individual can meaningfully review. The author draws a parallel to the CAD revolution in engineering, arguing software is mid-transition to a higher level of abstraction, but the tools to support that shift do not yet exist. Simply deploying faster or more capable AI models worsens the bottleneck rather than relieving it, since more output funnels into the same scarce human attention.