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.
Makes AI research agents accountable by giving every conclusion a traceable argument graph. Provides a persistent argument graph where claims require grounds and warrants for auditable, verifiable reasoning.
Enforces a structured reasoning cycle with mandatory reflection and searchable memory, transforming AI agents into deliberate, learning-based thinkers.
Provides AI agents with a lightweight task-management and self-verification layer to define goals, track checkpoints, detect scope drift, and verify completion against explicit done criteria.
An autonomous software-engineering pipeline for Claude Code that runs on real evidence: codebase intelligence tools, git analytics, deterministic verification rules, and zero LLM-judges-LLM. Every claim traces to a paper and every PR passes its own gates.
