The article outlines seven habits that development teams should adopt to ensure effective management of AI-generated coding. With the rise of AI tools, many developers are using them without sufficient oversight, which can lead to significant maintenance problems and increased technical debt down the line. The focus here is on governance—making sure that all code, whether created by humans or AI, is secure, maintainable, and ready for production. The habits include practices like incorporating thorough code reviews, maintaining documentation, and implementing testing strategies tailored for AI-generated code. Each habit emphasizes the importance of integrating AI tools into existing workflows without compromising code quality. By following these habits, teams can mitigate risks associated with rapid AI adoption and ensure that the software they produce remains reliable and scalable over time.