Why Tribal Knowledge Breaks Repos for AI Agents

Tribal knowledge in repositories creates significant friction for AI-native environments, where humans and AI agents must share a unified operating truth to function. Simultaneously, developers often over-engineer AI agent frameworks, opting for complex autonomous loops over straightforward function chains. While agentic architectures appear impressive in demos, explicit chains provide better predictability and easier debugging in production, avoiding the latency and unpredictability associated with over-engineered orchestration in real-world AI feature implementation.