AI-Native Engineering

• 🧩 AI Agents Need Contracts, Not Better Prompts (5/10)

  How versioned agent contracts define scope, tools, budgets, refusal, escalation and evidence, and turn AI governance into enforceable runtime behavior.

• ⚙️ The Executable Policy Layer: Why AI Governance Dies Before Runtime (4/10)

  How runtime policy decisions, enforcement points, state-aware rules and evidence turn AI governance from documentation into operational control.

• 🏗️ Why Most Teams Stall at Action Controls: The Hidden Systems Behind Real Agent Governance (3/10)

  Why identity and approval controls are not enough for AI agents, and how knowledge, execution and evaluation systems make governance operational.

• 🧭 The Five Layers of Agent Governance and Why Most Teams Still Only Have Two (2/10)

  A practical five-layer model for governing AI agents across identity, action, output, change and outcomes in AI-native software engineering.

• You Think You Have AI Governance. You Don’t.

  Why access controls and human approval are not enough for AI-native engineering, and what real agent governance requires across software delivery.