The 4 Patterns of AI Native Development — Patrick Debois
AI Summary
In this talk, Patrick Debois introduces the four emerging patterns in AI Native Development that highlight the significant shifts occurring in software development roles and activities due to AI. The patterns include: 1) Transitioning from producers to managers, where developers specify what AI should do. 2) Moving from implementation to intent, focusing on the ‘why’ rather than the ‘how’. 3) Shifting from delivery to discovery, emphasizing experimentation and learning. 4) Evolving from content creation to knowledge, capturing know-how for improved performance. These patterns aim to help developers and teams navigate their careers in the evolving AI landscape.