A Go-based CLI tool that compiles AI rule templates into target-specific formats for various AI coding assistants.
airuler is easy to set up with strong trust signals. Check agent compatibility and use-case fit before adding it to your workflow.
Repository setup guidance
gh repo clone Ratler/airulerOpen or clone the template repository.
Move the relevant AGENTS.md content into your project root.
Update project-specific commands, environment rules, and sensitive areas.
airuler lets you write your AI coding rules once as templates and automatically generates the correct format for different AI assistants like Cursor, Claude Code, and GitHub Copilot. It installs rules to the right locations and updates them instantly when templates change. This saves you from manually duplicating rules across multiple tools.
airuler is a Go-based CLI tool that solves the problem of maintaining duplicate AI coding rules across multiple AI coding assistants. It allows developers to write rules once as templates and automatically compiles them into the correct format for each target, including Cursor, Claude Code, Cline, GitHub Copilot, Gemini CLI, and Roo Code. Key features include multi-target compilation, vendor management for fetching templates from Git repositories, template inheritance with partials, safe installation with automatic backups, watch mode for auto-compilation during development, and flexible YAML-based configuration. It supports both global and project-specific installations, and offers a sync workflow that combines git pull, vendor updates, compilation, and installation updates. airuler is ideal for teams and individual developers who use multiple AI coding assistants and want to maintain consistent coding standards across all of them.
Looks usable, but maintenance, license, or security notes deserve a closer look.
Last commit was about 291 days ago.
16 GitHub stars indicate community interest.
5 open issues signal maintenance load.
MIT license detected.
Maintain consistent coding rules across Cursor, Claude Code, and GitHub Copilot from a single template.
Automatically deploy updated rules to all AI assistants when project standards change.
Share a common set of coding guidelines across a team using different AI tools.
Quickly set up AI coding rules for a new project by initializing a template project.
Use watch mode to automatically recompile rules during development.
Agent instruction templates should be reviewed before use because they can change coding-agent behavior across an entire repository.
Avoid copying rules that grant broad filesystem, shell, network, or secret access without adapting them to your project.
16
Stars
1
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5
Issues
MIT
License
A drop-in AGENTS.md file that makes coding agents behave like senior engineers, eliminating sycophancy and forcing verification.
Convert and sync AI coding-agent rule files between formats with zero dependencies.
Generate AGENTS.md from your codebase in one command. Free, instant, no API key.
A Go-based CLI tool that compiles AI rule templates into target-specific formats for various AI coding assistants.
Full-stack developers using multiple AI coding assistants., DevOps engineers managing team-wide coding standards., Tech leads who want to enforce consistent rules across projects.
The setup section provides repository-level starting guidance, not a guarantee of an independently verified installation. Check the official README and release notes.
Agent instruction templates should be reviewed before use because they can change coding-agent behavior across an entire repository. Avoid copying rules that grant broad filesystem, shell, network, or secret access without adapting them to your project.
Similar or complementary options to evaluate include agents-md, agentsync, agentseed.
Jun 7, 2026
2 security/trust notes recorded.
Setup difficulty is 2/5.