“The deeper implication is that code review itself starts to evolve,” Gogia said. “Historically, code review has been a human bottleneck tied to knowledge transfer and design validation as much as bug detection. In practice, it often fails to catch critical issues while slowing down integration. What we are seeing now is the early shape of a machine-led verification layer where the system traces logic and the human validates the outcome.”
The shift, however, is not without tradeoffs. Structured reasoning introduces additional compute and workflow overhead, raising questions about how it should be deployed in real-world development environments.
“More steps, more tokens, more latency,” Gogia said. “In controlled experiments, this can be justified by higher accuracy. In real developer environments, this translates into slower builds, longer feedback cycles, and increased infrastructure spend. If this is applied indiscriminately, developers will bypass it. Not because they disagree with it, but because it gets in the way.”
