AI Agents are reshaping the Software Development Life Cycle by treating knowledge as a reusable, dynamic asset. With tools like Copilot Studio, Azure AI Foundry, and AutoGen-based custom development, organizations can build intelligent agents that understand domain logic, automate documentation, testing, and release workflows. These agents continuously learn from historical data and developer interactions to reduce human dependency and accelerate delivery. Knowledge no longer lives in silos—it’s embedded into intelligent systems that guide, validate, and even write code. This session explores building multi-agent systems that act as virtual SMEs throughout the SDLC.