AI coding tools, such as Claude Code and OpenAI Codex, are transforming how teams approach software engineering by enhancing productivity and enabling engineers to tackle tasks more efficiently. Despite initial apprehensions about potential risks, such as the inadvertent deletion of databases, the article emphasizes that these tools are ultimately just that—tools. Their safe and effective use relies on maintaining solid engineering practices like code reviews, testing, and staging environments. The responsibility for the code produced remains with the engineers, akin to the oversight required when training new team members. The adoption of AI tools should not be enforced but encouraged through personal responsibility and organic cultural change within teams, starting with small, manageable tasks to build confidence. By treating AI coding tools as powerful, yet non-magical, assistive technologies, teams can leverage their capabilities while upholding high standards and ensuring thorough oversight of the code they create.