Anthropic's AI-Native SDLC Playbook Ignores the Hard Part: What the Agent's Code Runs Against

The AI-Native SDLC Starts with Your Infrastructure

Anthropic's playbook for an AI-native SDLC restructures software development around coding agents, with six stages that each produce an artifact for the next. But it stops short of addressing a crucial detail: what the agent's code runs against when it checks itself. For services with many dependencies, tests against fakes can mislead agents, which lack the developer's intuition for staleness. MetalBear's mirrord fills the gap by letting agents run against real staging services, and its operator enables concurrent agent sessions without interference.