AI-driven coding agents are revolutionizing software development by enabling rapid code generation, but they often lead to challenges in understanding, testing, and integrating complex software. Developers find themselves spending more time on fixing AI-generated code than on actual coding, raising concerns about team dynamics and the long-term sustainability of this approach. To effectively harness AI in software development, a new playbook is needed that emphasizes collaboration and best practices tailored for both human and AI contributions.