Code review now faces a replacement disagreement. Experts disagree about what should take the place of traditional code review as AI-based methods enter the conversation.
That is the entire fault line: one established process, one emerging approach, and no shared answer about what comes next. The discussion does not present a settled replacement, because the experts involved do not agree on the answer.
Traditional code review remains the reference point in this debate. AI-based methods represent the proposed alternative, but the disagreement is not about whether the two approaches differ; it is about what should replace the traditional method.
The Missing Consensus
The disagreement matters because replacing a familiar process requires more than introducing a new method. It requires agreement about what the new method is meant to do, and the verified facts provide no single answer from the experts.
That leaves the central question open. The discussion identifies AI-based methods as the direction under consideration, yet it does not identify one replacement that experts support together.
This is not a clean handoff from traditional code review to an AI system. It is a dispute over the handoff itself — the kind of transition technology announcements often present as settled long before anyone agrees on the details.
Why the Disagreement Defines the Story
The important development is not a named product, a published timetable, or a declared standard. No names, numbers, dates, or specific systems define this debate. The story is the disagreement among experts over the replacement of traditional code review with AI-based methods.
That lack of agreement keeps the question open rather than resolving it. AI-based methods may sit at the center of the discussion, but the verified facts do not establish that they have already replaced traditional code review or that experts have selected one approach.
For now, the replacement remains contested. Traditional code review is the process being challenged, AI-based methods are the proposed direction, and experts disagree about what should come next. The technology may be moving toward a new process; the argument about that process has not caught up.
