The post discusses the skepticism surrounding the effectiveness of generative AI (GAI) in producing useful code. Users highlight several key points: 1. Critics argue that despite promises, GAI has mostly shown utility in generating text or art rather than efficient or practical code. 2. Some experiences with AI in small to medium enterprises have led to frustration, often wasting time rather than saving it while lacking demonstrable benefits in demanding projects. 3. The need for human expertise in programming raises concerns about how novice users will develop necessary skills if they rely heavily on AI for coding. 4. The potential loss of learning opportunities due to reliance on LLMs for tasks that traditionally developed critical thinking and skills is addressed, especially in educational contexts. 5. Security implications of using AI tools in coding environments, particularly the risk of sensitive data leaks, are highlighted, as tools may inadvertently transmit data to external servers. 6. Overall, while some find GAI's capabilities impressive, there's a clear call for more transparency and responsible use in coding practices for better integration and effectiveness.