derstood algorithmic trading, and I was one of them; back then, the core of building systems was never about "getting it to run," but rather about achieving long-term reliability under constraints such as latency, stability, monitoring, and risk control. Therefore, I was initially very averse to "Vibe Coding," as it easily misled people into thinking that programming could be accomplished by "giving commands based on intuition." Later, after personally using Claude Code, Codex, and Copilot to create some small software and internal tools, I realized that the issue did not lie with AI writing code, but with the misleading nature of the term: when AI is integrated into the engineering process, it resembles an extension of Pair Programming, merging "output" and "review" into the same cycle, allowing people to refocus their energy from repetitive tasks back to key decision-making and quality control. Meanwhile, reality is quite clear: for those who do not understand programming, it is challenging to produce satisfactory results relying solely on Vibe; however, for capable individuals, AI significantly amplifies efficiency and delivery quality, which also explains why one of the most sought-after