So really the problem is a lack of code review... but I seem to recall that AI is decent at code review too. It won't spot state machine bugs, but SQL injections, no problem.
AI code review is better than no code review, and it's also better than a brief glance at the git diff of a codebase too big for the human equivalent of a context window where we all know we shrug and type "lgtm" before clicking accept… but it's definitely not a silver bullet either.
To keep the metaphor, it's an M60: ammo hungry, easily damaged or jammed, still very popular.
AI code review can help spot potential problems, but it won't do the most important part of code review for you which is to evaluating if the thing actually works and if the architectural approach is right for the project.
As with all things "AI", it's a great assistive tool for helping make decisions but it's not something to outsource those decisions to entirely.
To keep the metaphor, it's an M60: ammo hungry, easily damaged or jammed, still very popular.