moai-foundation-core

To build scalable AI workflows, apply the TRUST 5 framework to facilitate automated code validation and ensure consistent quality standards across your development pipeline. This methodology provides structured quality assurance for complex agent tasks.

SPEC-First DDD is a specification-driven domain modeling approach that guides phased workflows for AI development. It structures domain logic through explicit specifications, ensuring reliable and scalable architecture design before implementation begins.

To manage token context efficiently within a 200K token budget, apply token optimization strategies that strategically structure knowledge delivery. This approach uses progressive disclosure to layer content, maximizing available context for specialized agents.

Delegating tasks to specialized agents requires defining clear delegation patterns that route specific objectives to dedicated agents. This modular system optimizes success rates by ensuring scalable file organization and unlimited content depth.

Yes, this methodology suits large-scale enterprise development by ensuring scalable file organization and modular architecture. The TRUST 5 framework and progressive disclosure layers handle unlimited content depth, accommodating complex enterprise pipeline requirements.

AI development pipelines fail to maintain quality standards when lacking automated validation gates. Implementing the TRUST 5 framework establishes automated code validation checkpoints, enforcing consistent quality assurance throughout the delegation workflow.