What patterns and conventions are shared across AI-native team environments?

Key shared patterns emerging in AI-native environments include: (1) MCP as a common protocol for agent-tool interaction, (2) Standardized prompt templates and instruction formats, (3) Agent capability matrices defining what each agent can do, (4) Shared debugging and monitoring approaches for agent behavior, (5) Version control and iteration patterns for prompts and agent configurations. Organizations should document these patterns explicitly rather than assuming they'll emerge organically, as they become the 'architecture' of AI-native systems.