Analyzes a codebase to extract its coding conventions and exposes tools via MCP for AI agents to retrieve live style rules, ensuring generated code matches the project's unwritten style.
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.
Provides a quality framework and enforceable conventions for AI coding assistants, ensuring code quality, environment hygiene, and project standards across multiple AI tools.
Enables AI assistants and developers to analyze code for language-specific best practices and idiomatic patterns across programming languages, CI automation, and configuration formats.