The Big Bang: A.I. Has Created a Code Overload

A financial services firm went from 25,000 to 250,000 lines of code per month after deploying Cursor, and what they got for it was a 1M-line review backlog that nobody could clear. The NYT calls this code overload; the more precise term is a phase change — the bottleneck in software development has shifted from production to verification, and the two aren't scaling at the same rate. That gap is exactly what makes platform consolidation rational: if orchestration and monitoring have to live somewhere, labs that bundle it into the platform capture the verification layer that enterprise buyers suddenly need. Anthropic enforcing first-party access and pricing Mythos as a restricted coalition product are both responses to the same underlying problem — output that outruns oversight creates liability, and liability creates willingness to pay for whoever manages it. Enterprises that adopted AI coding tools without matching verification architecture didn't just take on technical debt; they took on attack surface they haven't priced yet.