Delivery in 2026

How AI transforms the entire software delivery chain, from product to production.

Introduction

• Understand the new challenges related to AI
• Quick review of recent AI news

For Product: From Idea to Prototype in a Snap

• The Product Owner: How AI enables generating user stories, wireframes and even functional MVPs without waiting for a dev sprint
• Ultra-fast hypothesis validation, new role of the PO

For Devs: Coding with AI

• The new role of the developer (Intent-driven programming, SDD)
• Coding differently

For Data, QA & Production Teams

• The shift from manual testing to auto-generated tests
• AI “searches” for vulnerabilities autonomously
• Saving time with AI-assisted support

Culture & Collaboration

• When AI translates business language into technical specifications, the barrier between “business” and “technical” fades away
• Ethics and responsibility: Who is responsible when AI generates a bug?
• The importance of human oversight and environmental challenges

Conclusion and Proposed Learning Paths

• The learning curve: Why training now is crucial to staying competitive