AI-powered code generation tools are reshaping software development by offering efficiency and scalability, but they also present complex challenges related to memory, security, and ethics. These tools lack long-term memory, forcing developers to re-teach models, and they can introduce security vulnerabilities due to their lack of architectural understanding. AI models do not truly learn or evolve, as they operate within a static framework, which can mislead developers about their capabilities. Over-reliance on AI may dull problem-solving skills and lead to a superficial grasp of underlying concepts. Ethical and legal issues, such as copyright and liability, further complicate AI's integration into coding practices. While AI tools promise to accelerate coding, developers must remain critical and proactive, treating AI outputs as starting points and ensuring rigorous testing and review.