Sync AI coding assistant configs across 13 tools in one command

Developers juggling multiple AI coding assistants often face a tedious, error-prone chore: maintaining separate context files for each tool. Whether it’s .cursor/rules for Cursor, CLAUDE.md for Claude Code, or Aider’s CONVENTIONS.md, the duplication is relentless. Each file demands near-identical details about your project’s stack, conventions, and environment—yet every change to your repository risks leaving these files out of sync.

That’s where claude-init steps in. This open-source command-line tool scans your project once and generates all 13 major AI coding assistant context files automatically. No API keys, no network calls, and no configuration headaches—just a single command that keeps everything up to date.

Automate the busywork of AI coding assistant setup

Maintaining context files manually is not only time-consuming but also prone to inconsistencies. When you update your tech stack, add a new dependency, or change your linting rules, you must remember to update every file across every tool. This is especially challenging in teams where different developers use different assistants.

Claude-init eliminates this redundancy. It examines your repository’s language, framework, package manager, scripts, file structure, environment variables, and even Git metadata. Then, it generates properly formatted context files for tools like Claude Code, Cursor, GitHub Copilot, Aider, and more—all in one pass. The result? A consistent, accurate snapshot of your project’s configuration that every AI assistant can rely on.

Prevent configuration drift with a single check

The biggest challenge isn’t initial setup—it’s keeping files current as your project evolves. A context file that’s out of date can lead to misconfigured suggestions, failed linting rules, or even broken tool behavior. Many teams address this by setting up complex CI checks or pre-commit hooks, but these often require custom scripting.

Claude-init includes a built-in check mode that regenerates all context files in memory and compares them to the versions on disk. If any discrepancies are found, the command exits with a non-zero status code—perfect for integrating into CI pipelines or Git hooks. Just run:

npx @horiastanxd/claude-init check

This ensures your AI assistants always work with the most accurate context, reducing errors and saving debugging time.

Extend automation with MCP server support

Beyond CLI usage, claude-init integrates seamlessly with model context protocol (MCP) servers. This allows AI agents to analyze your repository and generate their own context files on the fly. To enable MCP mode:

claude mcp add claude-init -- npx @horiastanxd/claude-init --mcp

With this setup, your AI assistant can dynamically generate or update context files as part of its workflow—no manual intervention required. It’s a powerful way to keep your development environment responsive to changes in real time.

Broad language support and monorepo flexibility

Claude-init isn’t limited to a single ecosystem. It supports a wide range of programming languages and package managers, including:

• JavaScript/TypeScript with npm, pnpm, yarn, or bun
• Python with pip, uv, or poetry
• Rust, Go, Java (Maven/Gradle), Ruby, and PHP

For teams managing monorepos, the tool also offers a --recurse flag to scan nested workspaces. This makes it ideal for large-scale projects where consistency across multiple packages is critical.

Open source, MIT licensed, and community-driven

Available under the MIT license, claude-init is fully open source and designed for extensibility. The project invites contributions and welcomes suggestions for new AI tools or formats to support. Whether you’re a solo developer or part of a large engineering team, this tool helps you maintain clean, consistent AI assistant configurations without the manual overhead.

As AI coding assistants continue to evolve, tools like claude-init will become essential for maintaining productivity and reducing configuration drift. By automating the most tedious part of AI-assisted development, it frees developers to focus on what matters most: building great software.