Enforces disciplined programming practices by requiring AI assistants to audit their work and produce verified outputs at each phase of development, following structured workflows for refactoring, feature development, and testing.
Provides a quality framework and enforceable conventions for AI coding assistants, ensuring code quality, environment hygiene, and project standards across multiple AI tools.
Enforces protocol-driven development by validating requirements, designs, scope, and acceptance evidence, while maintaining immutable, traceable governance archives.
Enables AI coding assistants to run a machine-verified DESIGN→PLAN→EXECUTE→VERIFY→COMPLETE workflow with human approval gates, state integrity checks, and DAG task scheduling.
