moai-foundation-core

The TRUST 5 framework is a quality gate system ensuring AI-generated code is tested, readable, unified, secured, and trackable. It provides structural rules to maintain consistency across orchestrated agent workflows and foundational development principles.

Implement specification-driven domain design using the SPEC-First DDD methodology, which guides development through structured specifications. It leverages the EARS format to define clear domain rules before generating code with AI agents.

Delegation patterns in agent orchestration route tasks to specialized agents rather than executing directly. This approach manages the 200K token budget efficiently and maintains modular system organization for scalable AI-driven development.

Progressive disclosure manages knowledge by delivering information in three tiers: Quick, Implementation, and Advanced. This structure ensures AI agents receive the appropriate context level needed for specific orchestration tasks without exceeding token limits.

You need foundational principles for agent orchestration when creating new agents or skills to ensure they adhere to core quality standards. Applying these architectural guidelines maintains scalability and unified design across complex AI workflows.

You can integrate these foundation principles with existing domain-driven design systems by applying the SPEC-First DDD methodology. It provides architectural guidelines and delegation patterns that enforce quality gates without requiring structural rewrites.