AI SDLC: How to Build Products That Write Their Own Code
Most teams treat AI as a side tool.
What if it became the engine of your entire development lifecycle?
In this session, we’ll show how to move from AI experiments to a structured AI-driven SDLC — where AI agents work alongside engineers across discovery, architecture, coding, testing, and observability.
We’ll share our AI SDLC framework that enables 2–10x faster development.
You’ll discover:
- Why “just adding ChatGPT” fails
- How to design an AI tool cascade, not a messy stack
- What a real Agent Team (UI, Backend, QA, Reviewer) looks like
- How AI-driven prototyping and QA shrink delivery cycles
- Where teams get stuck — and how to move beyond it
For CTOs, founders, and engineering leaders ready to rethink software delivery.
March 18 · 11:00 AM CET · Registration required