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Basic Information

Ruler is a developer tool that centralises and propagates coding assistant instructions so multiple AI coding agents in a project share a single source of truth. It stores human-authored guidance in a .ruler directory and concatenates Markdown rule files into the formats and locations expected by supported agents. Ruler targets consistency across tools like GitHub Copilot, Claude, Codex, Cursor and others by automatically writing or updating each agent's configuration files and optional MCP (Model Context Protocol) server settings. It provides a simple CLI to initialise a project, apply rules to configured agents, and revert changes. The project supports both per-repository and global configurations, validates configuration files, and is intended for teams who want uniform AI behavior, reduced duplicated config maintenance, and safer experimentation with agent settings.

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App Details

Features
Centralised rule management using a .ruler directory and Markdown files with source markers for traceability. Automatic distribution that writes agent-specific files to expected paths such as copilot, claude, codex, cursor and many other agent locations. Configurable behavior via ruler.toml including default agents, per-agent enablement, output paths and MCP merge strategy. MCP server propagation with merge or overwrite strategies and an example .ruler/mcp.json format. CLI commands including ruler init to scaffold configuration, ruler apply to distribute rules, and ruler revert to undo changes using backups. .gitignore automation to keep generated files out of version control. Debug and verbose modes, configuration validation, backup handling, and integration examples for npm scripts and CI workflows.
Use Cases
Ruler reduces duplication, context drift and onboarding friction by ensuring every supported AI coding tool receives the same, project-specific instructions. Teams can author coding style, API conventions, architecture notes and security guidelines once and propagate them to multiple agents so suggestions and completions remain consistent. The tool enables safe experimentation by creating backups before overwriting files and offering a revert command to restore prior states. It supports project-local and global configuration so developers can use shared team rules or personal defaults. Ruler also streamlines CI by letting repositories enforce synced agent configs during pull requests and automates .gitignore updates so generated files are not accidentally committed. These features help maintain developer productivity and predictable AI behavior across environments.

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