Paradigm shift from architecture-first to instruction-writing-first in AI-native teams

This reflects a real architectural shift where AI agents become the primary execution layer. In AI-native environments, the focus moves from 'how should the system be built' to 'how should the agent be instructed.' Shared patterns include: (1) MCP as a standardized protocol for tool integration, (2) prompt engineering as the primary design language, (3) agent behavior specification replacing traditional API contracts, (4) instruction clarity becoming as critical as code quality. Teams experiencing this should establish shared conventions for prompt structure, agent capability definition, and MCP schema design to maintain consistency across participants.