The PM Trap: AI Won't Turn Engineers into Managers (carette.xyz)

A recent article emphasizes the ongoing evolution in software engineering as large language models (LLMs) automate routine coding tasks, shifting engineers' roles toward code auditing and review. However, it warns against the misconception that engineers should simply transition into project management roles. The core argument is that true engineering involves deep problem-solving and hands-on experience, not merely ticket management or AI prompting. The significance for the AI/ML community lies in recognizing that while LLMs excel at generating boilerplate code, they cannot replace the nuanced, experiential knowledge that engineers bring to complex problem-solving. Real engineering challenges, such as diagnosing memory leaks or navigating unpredictable system behavior, require a level of intuition that can only be developed through direct engagement with intricate architectures. The article stresses that companies that downplay the value of deep technical expertise risk creating fragile systems. Therefore, engineers are encouraged to focus on critical problem areas rather than conform to corporate fantasies that diminish their role.