What you'll learn in this session
Why Agentic SDLC requires an engineering approach, not just agent orchestration.
The AgenticStack framework and how it structures AI across every SDLC phase.
A live demonstration of an end-to-end Agentic SDLC workflow.
More about the event
Building an Agentic SDLC is far more than connecting a few AI agents together. Modern software delivery is a complex ecosystem of specialized roles—including Business Analysts, Architects, Developers, QA Engineers, DevOps, Infrastructure, UAT, Release Management, and Support—each with well-defined processes, inputs, outputs, and quality gates.
Simply introducing AI agents does not transform software delivery.
The real opportunity lies in engineering each SDLC phase with purpose, enabling specialized AI agents to augment individual roles before orchestrating them into a connected, governed, and measurable delivery lifecycle.
At Lead With Tech, we call this AgenticStack—an engineering-first approach to building Agentic SDLC. Instead of focusing on isolated AI agents, we focus on designing intelligent workflows, role-specific agents, governance, and seamless collaboration across the entire software delivery lifecycle.