AI Is Making Code Cheap. Verification Is Becoming the Expensive Part

A recent analysis of Anthropic’s CI infrastructure highlights a critical shift in software engineering: while AI now generates the majority of code, the real bottleneck has moved to verification. As AI agents increase development throughput, downstream processes like testing, code review, and CI capacity are becoming overwhelmed. The article argues that simply scaling compute is insufficient; instead, teams must implement deterministic test impact analysis to ensure safety without stalling the autonomous feedback loop. Quality engineering is evolving from manual testing to designing robust, automated systems that can distinguish between real regressions and noise. Ultimately, as code production becomes abundant, the industry's primary challenge is no longer how fast we can write software, but how efficiently we can verify its reliability. Organizations must prioritize building smarter, faster verification layers to keep pace with AI-driven development, or risk creating a cycle of 'automation theatre' that lacks true confidence.