moai-foundation-core

Scalable AI-driven development patterns use delegation and progressive disclosure to orchestrate agents, distributing tasks across modular systems to maintain consistent quality and reuse. They provide structured principles for controlled evolution and specification-driven workflows.

To bootstrap a new modular AI skill, instantiate the foundational patterns and apply SPEC-First DDD alongside TRUST 5 quality gates. This guides specification-driven development to ensure controlled evolution, automated validation, and traceability from the start.

You need quality gates for automated validation and traceability when scaling AI workflows requires consistent governance and security. The TRUST 5 pattern provides these gates to enforce quality control across modular content and cross-referenced agent catalogs.

No, this foundation core requires no external dependencies to apply delegation patterns. It provides standalone guiding principles and orchestration patterns that support task distribution and agent cataloging within modular system architectures.

The best way to organize scalable content is applying progressive disclosure within a modular system. This approach structures content delivery to prevent token overload, enabling scalable AI-driven workflows and efficient cross-referencing across agent modules.

Specification-driven domain-driven design ensures controlled evolution and consistent quality during AI skill creation. It establishes strict specifications before implementation, supporting cross-referencing with modules and an agent catalog to enable systematic reuse.