moai-foundation-quality

Automated code quality analysis uses the TRUST 5 framework and Context7 integration to validate standards across 25+ programming languages. It provides real-time feedback by running language-specific validators and linters to enforce best practices.

TRUST 5 validation is a code quality framework that automates analysis of performance, maintainability, security, and technical debt. It works by proactively detecting issues and suggesting improvements to ensure compliance with coding standards.

Yes, continuous improvement and code quality enforcement integrate with Pylint, Black, and Ruff for Python codebases. These dependencies serve as language-specific validators to provide real-time analysis and formatting recommendations.

Proactive code analysis detects security vulnerabilities and technical debt in JavaScript projects using Jest and Snyk dependencies. It suggests improvements for maintainability and security while enforcing best practices standards.

Set up automated code enforcement by initializing the quality orchestrator with TRUST 5, proactive analysis, and Context7 integration enabled. Call the analyze_codebase function with your source directory and target languages to receive real-time recommendations.

Yes, moai_core_quality and context7_client are required dependencies to run codebase analysis. The quality orchestrator relies on these alongside language-specific validators like Mypy, Pytest, and Bandit to execute TRUST 5 validation.