Reviewing AI Generated Work

Code review has always been one of the most important practices in engineering. It is where mistakes get caught, where knowledge transfers between team members, where standards get enforced, and where the collective understanding of a system gets built and maintained over time. None of that has changed with AI-assisted development. What has changed is the volume, the nature of the output being reviewed, and the specific failure modes that reviewers need to be watching for. A team that adopts LLM