Architecting the 100X SDLC: Building Production Trust into AI-Assisted Delivery

AI-assisted development has made it astonishingly easy to produce software — and astonishingly hard to trust it. Demos ship in hours, but production demands more: auditability, verifiability, cost control, and the delivery discipline enterprises have spent decades refining.

This session begins by clarifying the terminology now shaping the industry — SDLC, AI-Assisted SDLC, and ADLC— and what actually changes when AI agents become first-class participants in software delivery rather than autocomplete on the side.

We then share hard-won lessons from building the VibeFlow, a 9 persona AI team for producing production-quality software through AI-assisted development. VibeFlow structures specialized agents into a governed team that operates inside familiar Scrum and Kanban constructs: backlogs, sprints, reviews, and definitions of done. The result is AI velocity that remains observable, auditable, and verifiable at every stage.

Attendees will learn the design principles that made this work in practice: why governance must be architected in rather than bolted on; how work-item traceability makes AI output verifiable instead of merely plausible; how cost controls and guardrails keep agent teams economically predictable; and how marrying agents to agile ceremonies turns impressive demos into dependable delivery.

Whether you’re an engineering leader evaluating AI adoption, an architect designing for it, or a practitioner already shipping with AI, you’ll leave with a concrete blueprint for moving from vibes to verifiable — and from X to 100X — without sacrificing the trust production demands.