What do I mean by some software devs are "ngmi"? (ghuntley.com)

In a thought-provoking analysis, a software engineer reflects on the urgency for developers to adopt AI-powered tools, particularly large language models (LLMs) and code assistants. The narrative illustrates how performance evaluations at a fictional company reveal a stark divide: those who embrace AI technology significantly enhance their output, while traditionalists struggle to keep pace. Developers who initially dismissed these innovations, like "Apple" and "Grape," find themselves falling behind as their peers leverage AI to achieve remarkable efficiency and productivity gains. This shift in the software industry highlights an essential lesson for the AI/ML community: staying stagnant can have dire consequences. As AI tools become more accessible and potent, developers’ skills must evolve or risk obsolescence. The story underscores a broader industry transformation—companies no longer just seek programmers but also individuals proficient in integrating LLMs into their work. As the landscape evolves at breakneck speed, the message is clear: continuous learning and adaptation will be crucial for survival and success in a rapidly advancing AI-driven world.