It's true – AI will replace _most_ software engineers (getsmall.xyz)

Recent discussions in the tech community have sparked a significant debate about the impact of Large Language Models (LLMs) on the software engineering profession, with some asserting that these AI tools will replace a majority of software engineers. While studies suggest that LLMs have not universally improved productivity among developers, they highlight a critical demographic at risk—those who are not actively advancing their skills or adapting to new technologies. This reflects a broader trend where software engineering roles have evolved from attracting passionate problem solvers to including individuals motivated primarily by lucrative salaries, leading to potential disenfranchisement among less engaged engineers. The implications for the AI/ML landscape are considerable. LLMs are proving to be transformative tools for seasoned engineers who have developed a deep understanding of their craft, allowing them to leverage these models to enhance their productivity significantly. Conversely, engineers who rely on LLMs without a solid foundation may struggle to harness their full potential. This shift emphasizes the importance of continuous learning and adaptation in the profession—those with a strong grasp of software design and architecture will likely thrive, while less engaged developers may find themselves sidelined as LLMs reshape the industry's landscape.