The most believable AI coding story right now is not that everyone is suddenly shipping ten times faster.
It is that many teams are producing more code than their review systems were designed to absorb.
GitLab released new AI accountability research this week with a very familiar shape. Adoption is high. Output is faster. Leaders see ROI. Developers are using multiple AI coding tools. Then the uncomfortable part arrives: 85% of respondents agree that AI has shifted the bottleneck from writing code to reviewing and validating it, and 84% agree that the biggest challenge is governing what happens to AI-generated code after it is created.
That feels right.
For years, the sales pitch was "AI will help you write code." Fine. It does. Sometimes well, sometimes badly, often usefully enough.
