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.
Enforces a structured reasoning cycle with mandatory reflection and searchable memory, transforming AI agents into deliberate, learning-based thinkers.
A disciplined engineering harness for AI coding agents that provides ground-truth MCP tools and adversarial enforcement skills to transform generic LLMs into high-precision engineers.