The author reflects on the recurring belief that advancements in technology will eliminate the need for software developers. With 43 years in the field, he recalls how past innovations like WYSIWYG editors, No-Code platforms, and more recently, Large Language Models (LLMs) were all forecasted to make programmers obsolete. History shows that rather than reducing the number of programmers, these cycles have led to an increase in both software production and development roles. The author highlights that current claims about LLMs signal a new cycle, but with significant differences in scale and reliability compared to past technologies. He argues that the essence of programming—translating human thought into precise computational expressions—remains challenging. Natural languages lack the necessary clarity, making it unlikely for programming to ever be fully automated. The demand for skilled programmers will continue, especially as businesses cut hiring in the current economic climate. He points out that claims of AI replacing developers lack credible support and that current AI tools fail to match the understanding required for effective programming. The potential for AI to assist in coding exists, but human oversight will still be essential for developing reliable software. The author expresses skepticism about the long-term viability of hyper-scale LLMs, likening them to ambitious but ultimately impractical projects like the Apollo Moon missions. He envisions a future where AI aids in minor tasks but emphasizes that skilled developers will still be necessary, particularly for complex and critical projects. The article concludes with a call for employers to begin hiring programmers now to prepare for the impending demand as the hype around AI settles.