Patrick Debois Maps the Patterns of AI-Native Dev

After DevOps, Patrick Debois has a new map. The godfather of DevOps returns to walk through his AI patterns research: how he tracks where AI-native development is heading by mining social signals instead of surveys, why the stack is settling into patterns worth learning, and why your AI budget problem is really an optimization problem.

What we cover:
– Inside the AI patterns site at Tessl.io/patterns and how it's auto-generated
– The four layers of AI enablement: agent, team, platform, and organization
– Solo, shared, and multiplayer modes: the compounding effect of shared context
– Managing agent costs: budgets as a forcing function for optimization
– Scaling adoption: find the success story, don't fight the skeptics
– Hiring system thinkers instead of elegant coders

Chapters:
00:00:00 - Introduction
00:02:28 - Why AI grips Patrick Debois
00:04:33 - Agent, team, platform and org enablement
00:06:36 - Is AI-native development maturing?
00:11:19 - Inside the AI patterns site
00:18:14 - Quality, security and the IDE as review interface
00:22:45 - Changing roles and harness engineering
00:26:32 - Hiring in the AI era
00:30:31 - Scaling adoption across the org
00:42:03 - Cost management and ROI

🌐 Tessl: https://tessl.io
🔔 Subscribe for weekly episodes on AI-native development

Where is your organization on the maturity curve? Drop your take in the comments.