The article examines how AI is reshaping software development by moving away from large, complex projects to smaller, tailored solutions. Traditional software development resembles outdated steam-powered factories, relying on cumbersome processes that result in bloated applications. Users typically engage with only a fraction of the features available, while large teams struggle to manage intricate codebases. This approach leads to inefficiencies, higher costs, and features that often detract from the user experience. The author argues that as AI becomes more adept at building and maintaining small applications, this paradigm can shift. AI coding agents can create bespoke software at minimal costs, making it feasible to develop applications tailored for individual users or small teams. This trend allows for "vibe coding," where users can interact directly with AI to specify needs without the delays of traditional development cycles. Although current AI capabilities still face limitations—such as producing insecure code or complications for new team members—these challenges are expected to diminish rapidly. The idea of "locally grown software" emerges, prioritizing simplicity and customization over feature-rich but cumbersome applications. The shift toward AI-driven development does not eliminate the need for professional engineers but alters their role significantly. While engineers still contribute to complex projects, the future may see a rise in simpler, user-friendly applications that meet specific needs quickly and efficiently. The article draws parallels between the evolution of manufacturing power sources and the ongoing transformation within software development, emphasizing that the change is not about replacing old systems but rather about integrating new methodologies that enhance productivity and user satisfaction.