moai-foundation-core

To enforce quality gates for AI-driven development workflows, apply the TRUST 5 framework, which ensures generated code is tested, readable, unified, secured, and trackable throughout the agent orchestration lifecycle.

Spec-first domain-driven design for AI agents is a methodology that guides development through specifications before implementation, ensuring structured domain modeling and progressive disclosure content architecture within the MoAI-ADK ecosystem.

Manage token optimization strategies for agent orchestration by implementing context management and budget controls, ensuring efficient resource allocation and preventing context overflow during specialized agent delegation.

Yes, you can use specialized agent delegation patterns to orchestrate tasks via dedicated agents, avoiding direct execution and ensuring modular, scalable file system structures within your AI development workflow.

The MoAI-ADK core principles framework supports modular file system organization by structuring content for layered knowledge delivery and organizing files for scalable, maintainable skills across the development lifecycle.

You need progressive disclosure content architecture in AI development when structuring layered knowledge delivery for agents, ensuring efficient context management and scalable content distribution across complex domain-driven design workflows.