The rise of agentic AI is pushing far beyond code generation. What began as AI-assisted development is maturing into a full Agentic Development Lifecycle (ADLC)—a model where intelligent agents become active participants across every phase of software creation and system operation. Agents now plan, design, code, test, secure, deploy, and operate alongside humans, widening the set of actors in the SDLC and challenging long-held assumptions about how software is built.

But ADLC is only part of a broader transformation. Agentic infrastructure, agentic operations, confluence guardrails for security and governance, agent control planes, knowledge graphs, and emerging agent marketplaces are reshaping the entire IT landscape. This wave promises new levels of automation, integration, and adaptability, but also raises sharp questions: Will agentic systems help organizations build coherent AI strategies, or are vendors still leaving too much for customers to figure out? Are “agentic” and “agent” lifecycles the same, or distinct models evolving in parallel? And how much clarity—or confusion—are vendors actually bringing to this shift?

This session examines how the agentic lifecycle is taking shape in the market, what it means for development and operations, and how enterprises can navigate the growing gap between vision and practical strategy. Attendees will leave with a clearer view of the strategic stakes, the emerging vendor landscape, and the decisions they’ll need to make to shape their own AI-enabled future.