LLMs are eroding my software engineering career and I don't know what to do (human-in-the-loop.bearblog.dev)

A software engineer with a decade of experience reflects on his career amidst the rise of large language models (LLMs), which are dramatically reshaping the software development landscape. Initially, he specialized in finance and payment systems, leveraging his deep domain knowledge and debugging skills to deliver effective solutions. However, as LLMs like Claude and GPT have evolved, they now excel at generating documents, coding, and even debugging complex systems, undermining the value of his hard-earned expertise. The engineer observes that the demand for domain specialists is dwindling, as LLMs can perform tasks that were once solely within the human capability. The implications for the AI/ML community are profound. As LLMs take over more aspects of software development—from documentation to coding and debugging—there's a shift toward generalist roles, erasing the traditional distinction between specialists. This raises concerns about job security and the value of accumulated knowledge, as developers who once distinguished themselves through expertise now find themselves in a market that prioritizes versatility over specialization. The engineer contemplates a career pivot toward fields less prone to automation, highlighting the urgent need for professionals to adapt to an industry in flux.