This post addresses the pressures and dynamics affecting software engineers as AI technologies, particularly large language models (LLMs), become more integrated into coding practices. The conversation highlights the perception that as more coding tasks become automated, the need for traditional programming roles may decline. However, usage of AI is seen more as a means to enhance developer productivity rather than a full replacement. Key points discussed include the irreplaceable aspects of problem-solving, understanding user needs, and the essence of creative and critical thinking that cannot fully ground in mere pattern recognition or automation. Users express skepticism about the capability of AI to genuinely replace skilled developers, emphasizing the continued need for human oversight and expertise in complex problem-solving. The shift could lead to a demand for fewer but more specialized professionals equipped to effectively utilize advanced tools, rather than just more junior-level engineers.