The evolving landscape of software development is shifting from AI coding assistants to AI-Agentic Software Engineering. This new paradigm empowers AI agents to autonomously manage entire software engineering tasks, extending beyond simple code generation. The key challenge now lies in integrating these AI agents into a structured Software Development Lifecycle (SDLC). This transition necessitates a move towards specification-driven development, emphasizing well-defined requirements and engineering principles. Two emerging frameworks facilitate this shift: Spec Kit and BMAD. Spec Kit promotes Human + AI collaborative development by prioritizing structured specifications before code generation, ensuring better traceability and consistency. It aims to reduce AI hallucinations and lower development costs. BMAD, on the other hand, is an AI agent orchestration framework that models an entire software engineering organization with specialized agents. It coordinates multiple expert agents for different SDLC stages, offering more deterministic and repeatable outputs. BMAD supports various development workflows and integrates with external engineering tools via the Model Context Protocol. Ultimately, successful adoption of AI in software engineering will depend on structured frameworks and governance, enabling AI agents to deliver reliable and scalable software. The future involves engineers leading teams of AI agents, enhancing speed, consistency, and quality.