Summary
The author expresses skepticism about fully trusting AI tools to generate output without review, emphasizing the need for critical scrutiny in real work scenarios. While acknowledging the game-changing potential of AI, the author identifies common issues with AI-generated code, such as poor naming conventions, excessive migrations in SQL, and security vulnerabilities, stressing that a careful approach is necessary at this stage.