Is AI causing a repeat of Front end's Lost Decade? (mastrojs.github.io)

Recent discussions in the AI/ML community raise concerns about the "deskilling" of programming, reminiscent of what frontend developers experienced during the past decade. As AI tools become increasingly integrated into coding practices, there is a parallel to the rise of JavaScript frameworks that simplified frontend development. This shift has diminished the necessity for deep knowledge of fundamental coding skills, instead allowing less experienced programmers to contribute to projects. While this democratization lowers barriers to entry, it also risks creating a workforce less equipped to handle complex programming challenges and diminishes the bargaining power of skilled developers. The implications of AI-driven coding further complicate the landscape. Agentic coding—where AI fills in code based on general guidelines—can produce unpredictable results, effectively making it comparable to working with less experienced developers. This raises questions about the quality and reliability of software, as businesses may prioritize cost savings over skilled craftsmanship. Moreover, as organizations publicly embrace AI development, there’s a growing concern that the overall integrity of software quality may suffer. The discussion suggests a need for a renewed commitment to craftsmanship in programming, akin to the Bauhaus movement's approach to integrating craft and industrial processes, ensuring that user experience remains central to development efforts.