codemap

codemap creates a lightweight project map that gives LLMs instant architectural context without burning tokens on full codebase input. It supports 18 languages for dependency analysis and integrates directly with Claude Code via hooks and daemon mode. Developers and operations teams use codemap to speed up AI-assisted development by providing structured project understanding—visualizing dependency flow, tracking file changes, and enabling cross-agent handoffs. The tool works with local repos and remote GitHub/GitLab projects, offering multiple output modes including tree views, dependency graphs, and skyline visualizations to match different workflow needs.

["1. **Install codemap**: Integrate codemap with your CLI tools by following the installation guide on the official website. Ensure it's compatible with your project management workflows (e.g., GitHub, GitLab, or Bitbucket).","2. **Prepare your repository**: Make sure your project is well-organized and follows a consistent coding style. Codemap works best with modular, well-documented code.","3. **Generate a codemap**: Use the prompt template provided above, replacing the placeholders with your project name, specific module, and any other relevant details. Run the prompt in your preferred AI tool (e.g., Claude or ChatGPT).","4. **Analyze the output**: Review the codemap analysis, focusing on the architectural context, key dependencies, data flows, and recommendations. Use this information to optimize your module and improve your project's overall architecture.","5. **Iterate and improve**: Based on the codemap analysis, make necessary changes to your code. Regenerate the codemap to see the impact of your changes and continue iterating until you achieve the desired results."]