Anthropic's AI-native SDLC playbook: how to build it at scale

Anthropic's AI-native SDLC playbook is the clearest guide out there for rebuilding the SDLC around agents. It maps six stages, the artifact each one commits, and where governance sits in the process. Most engineering leaders read it and agree with it. But where do you start, and how do you make it real across your teams?

In this session, Matar Peles (Field CTO) and Etay Alony (Product Solutions lead) will cover each play and what it takes to run it, then show how you implement the playbook stage by stage. Running the plays as one software factory takes context, orchestration, and standards that hold across the entire engineering organization. We'll demo that on Port's agentic platform.

What we'll cover:

• The playbook, stage by stage: the six stages, the artifacts between them, and what each play needs before it works.
• Capturing signals as intents: turning tickets, alerts, and requests from your existing tools into the input the loop runs on.
• Keeping humans in the loop by identifying risk: what gets escalated, decided by rules rather than by whoever is looking.
• How to measure and monitor each loop: how to track where work stops moving and what the agents are actually returning.
• Live demo: how to implement the playbook, using Port's agentic platform. From signal to shipped change, with the standards enforced at each stage and the operator view on top.