​Building AI-Augmented Software

​AI isn’t just accelerating individual tasks, it’s reshaping how software teams think, collaborate, and deliver.

​In this Victory Square Session, we’ll explore the shift from a traditional, code-centric SDLC to intent-driven, AI-augmented software delivery, where specifications become the source of truth, developers act as validators, and agentic systems take on meaningful execution work.

​Based around our AI-Augmented SDLC methodology, this session focuses on what actually changes when AI becomes a first-class member of the team—not a bolt-on tool. We’ll unpack how high-performing teams combine strong engineering foundations with agentic workflows to move faster without sacrificing quality, security, or maintainability.

​You’ll leave with a practical model for:

• ​Designing AI-augmented development teams, not just AI-assisted developers

• ​Treating intent, specifications, and documentation as durable assets

• ​Leveraging agentic AI across planning, development, testing, and operations

• ​Understanding which responsibilities must remain human—and which can safely be delegated to AI

​This is a conversation for engineering and product leaders who want to build software that lasts, even as AI changes how it gets built.