While AI tools like LLMs can significantly accelerate software development, developers warn they often generate fragile, messy, or suboptimal code if not carefully managed. Industry professionals compare these AI models to power tools that require strong human expertise and rigorous code review to prevent technical debt and poor architectural decisions. Ultimately, to build truly ambitious and robust software, engineering teams must balance the speed of AI-generated code with a strict commitment to maintainability and performance best practices.