Automatically enforces team coding standards in AI-assisted development by providing an MCP server that AI assistants can query for language-specific standards, style guides, and best practices.
Scans your source code using AST analysis to detect coding conventions, error handling, API patterns, and more, then generates a CONVENTIONS.md file to help AI agents follow your project's style.
Code linting and style checking tools for AI agents, exposed as an MCP server. Supports style checks, naming conventions, complexity analysis, dead code detection, and import analysis.
Provides a CLI and MCP server for scanning repositories to generate evidence-backed, project-specific instruction files for AI coding assistants, ensuring AI behavior aligns with existing codebase conventions.
Analyzes repositories, explains architecture, calculates change impact, and enforces guardrails for AI Agents like Claude Code, Cursor, and Codex via MCP tools.