The article examines the implications of automating software development entirely, removing the constraints posed by human intelligence and time. It argues that as coding becomes cheaper and faster, codebases will grow significantly larger. The traditional limitations of coding, like debugging speed and typing proficiency, will diminish. Consequently, the main bottleneck may shift to compilation time instead of development time. As teams currently favor familiar technologies due to switching costs, the article suggests that with unlimited developer time, it will become efficient to adopt new tools and even create them from scratch. This could lead to unfamiliar programming paradigms emerging that might initially seem awkward to human developers. The author highlights that advanced specifications for software can be constructed with greater complexity, driven by optimization constraints defined by human preferences or other processes. An important consideration is the alignment problem, where defining the right optimization constraints becomes crucial. The paradigm of infinite developer time opens up possibilities for code quality that human teams struggle to achieve, such as ensuring no dependencies or formally proving that the produced code meets its specifications. While some of the theoretical ideas might not yet be practical, the article hints at imminent advancements that early adopters can leverage.