Massu

概要

Massu transforms general-purpose AI coding assistants into controlled engineering environments. It offers critical governance for AI-generated code by implementing session memory for cross-session learning, a feature registry to track and manage code features, and code intelligence for deep analysis of code structures. Born from real-world production incidents, Massu addresses common challenges like security vulnerabilities, architectural drift, and silent breaks, ensuring that AI-driven development remains secure, consistent, and well-documented.

主な機能

• Documentation Sync to detect code-doc drift
• Code Intelligence for import chain analysis and domain boundary enforcement
• 1 GitHub stars
• Feature Registry (Sentinel) to track features and detect impact
• Session Memory for cross-session learning and failure recall
• Rule Engine for contextual coding rules

ユースケース

• Enforcing coding standards and architectural guidelines in AI-assisted development
• Ensuring code quality and security by detecting vulnerabilities and architectural drift proactively
• Maintaining consistency and preventing regressions in features developed with AI coding assistants