AI is being used more and more frequently in software development—especially for generating code.
And that makes sense:
AI-based review tools are tempting. They generate detailed review reports in seconds, find potential bugs, and suggest improvements.
But this is precisely where the danger lies: Integrating software code without genuine human oversight can be critical.
Why?
Because software must not only be “correct”—it must also be “intended.”
And that is precisely what cannot be reliably automated:
Has the functionality been interpreted correctly from a technical standpoint?
Have requirements been fully and correctly implemented?
Are there implicit business rules that AI is unaware of?
As software developers, we bear responsibility.
And that includes: making time for a genuine review.
Not just for code quality—but for content accuracy and contextual understanding.
Because ultimately, who else can guarantee that only what was intended has actually been implemented?
AI can be a powerful ally.
But it must not replace human review.
