The author grapples with the reality that AI will likely take over much of the coding work in the future. They acknowledge that AI already writes code faster and often produces results comparable to their own, especially in unfamiliar languages or frameworks. This shift feels abrupt and unsettling, as the author reflects on the years spent mastering coding skills, debugging, and navigating complex codebases. The emotional weight of these experiences makes the prospect of AI-generated code feel like a loss of something deeply valuable. The joy of coding, described as a “love-hate relationship,” involved a sense of achievement from overcoming difficult challenges. The author recalls moments of being fully immersed in coding, the thrill of seeing a program run successfully after intense focus, and the frustration that often accompanied time estimations. With AI stepping in to handle the grunt work, they question whether the satisfaction derived from solving complex problems will diminish. There's also a possibility that this shift could lead to new types of engagement with coding. The author speculates that future work may involve higher-level problem-solving and directing AI to handle the more tedious aspects of coding. This transition could redefine what it means to be “in the zone” for software engineers, transforming their role from hands-on coding to strategic oversight.