Continuous Delivery 2.0
Sep 7, 2026 · Artificial Intelligence
Enterprise AI Engineering 2.0: From Prompt Crafting to Constrained Runtime Environments
The article argues that enterprise AI engineering is moving from fragile prompt-centric specifications to robust environment-driven verification, detailing four essential capabilities—automated validation loops, tool-call fault tolerance, hard permission isolation, and asset lifecycle management—to build governable, self-correcting AI runtime environments.
AI EngineeringPrompt EngineeringSpec-Driven Development
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