On Being an Engineer in 2026 (twitter.com)

In a thought-provoking exploration of the future of engineering in an AI-driven world, a software engineer reflects on the evolving role of humans as more tasks are delegated to AI agents. While many aspects of coding, writing, and even high-level problem-solving are increasingly handled by these agents, the engineer argues that human intuition, experience, and the capacity to ask the right questions still create a significant divide in output quality among engineers. They illustrate this by highlighting how exceptional engineers now outperform their average peers substantially, suggesting that humans bring irreplaceable value through their unique insights and lived experiences. Significantly, the engineer delves into philosophical concepts such as emergence and tacit knowledge to underscore that the essence of human contribution transcends mere technical capability. They posit that while AI can learn from vast amounts of data, it lacks the nuanced understanding that comes from personal experiences and emotions. The anticipation of a time when AI might develop its own intuitive understanding raises questions about the nature of consciousness and expertise. This reflection serves as a reminder that engineers are far from obsolete; instead, their human experiences and nuanced understanding remain critical in navigating the complexities of technology, ensuring they will continue to hold a vital place in the field of AI and machine learning.