As AI adoption in software development goes up, something predictable happens: code stops being the main bottleneck. And with one bottleneck removed, more appear.
AI agents are drafting code faster and with higher accuracy than many of us expected even a year ago. As we continue our AI enablement push at Zapier, I'm watching my teams ship more code, faster. That's the good news. The less obvious news is what you start to notice once that constraint loosens. By removing one problem, more surface.
The numbers are striking. According to Pullflow's State of AI Code Review 2025 (which looked at over 40 million pull requests), about one in seven PRs now involves AI agents, up from roughly 1% in early 2024. That's a 14x increase in under two years. AI agents authored over 335,000 PRs in 2025 alone. So we're not just using AI to write code; we're producing more code, and more of it is flowing into review.
Review isn't scaling with it. Research on agent-authored PRs shows that a large majority face longer review times, sit unreviewed, or get rejected. Code generation has accelerated. The capacity to review, align, and decide hasn't kept pace. So you get this odd situation: the part we worried about for years, writing the code, is less of a constraint, and the parts we took for granted, review and decision-making, are suddenly where things pile up.
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