Software development has undergone a seismic shift with the emergence of agentic AI, which fundamentally alters the economic landscape of the profession. The established norm of $150/hour for senior developers, driven by supply and demand, is now under threat. This rate has historically dictated how software development processes are structured, prioritizing efficiency and economic justification for every line of code written. The high cost of human developers meant that every decision was made with the goal of maximizing output from a limited pool of talent. In contrast, the introduction of AI tools like Anthropic's Claude Code has drastically lowered the cost of coding, allowing for rapid code generation that challenges the very foundations of the $150/hour model. The author recounts a personal experience with Claude Code, illustrating its capabilities in producing complex code efficiently. By collaborating with the AI, the author was able to accomplish tasks that would normally take a junior developer a week in mere hours. This partnership allowed for the generation of new code and innovative testing methods, showcasing the AI's ability to contribute meaningfully to software development. The implications are profound: the old equation of feature development, which relied on expensive developer hours, is now replaced by a model where AI can handle code production at minimal cost. The bottleneck has shifted from coding to defining what to build, fundamentally changing how software projects are approached. With this transformation, traditional practices like Agile, code reviews, and outsourced development, all designed to manage costs associated with human developers, may become obsolete. The author argues that the industry must adapt to this new reality, where knowing what features to create becomes more critical than the labor-intensive process of writing the code itself. This shift raises questions about the future role of human developers and the potential for AI to redefine the profession entirely.