CodeBoarding/CodeBoarding

What it solves

CodeBoarding provides a visual map of a codebase to prevent developers and AI coding agents from introducing bugs or technical debt. It solves the problem of understanding large, complex repositories faster and keeping system architecture visible while AI agents are making changes.

How it works

The tool combines static code analysis with LLM reasoning to generate architecture diagrams and component-level documentation. It uses an incremental analysis engine to detect code changes and update only the affected parts of the documentation. The process involves an orchestrator that manages the workflow, a static analyzer for code insights, and an LLM agent core that delivers structured analysis for the final diagrams and Markdown documentation.

Who it’s for

Developers who need to navigate large repositories, teams using AI coding agents to automate development, and engineers who want to integrate architecture visualization into their IDE, CI/CD pipelines, and project documentation.

Highlights

• Multi-language support: Works with Python, TypeScript, JavaScript, Java, Go, PHP, Rust, and C#.
• Crosspoint integration: Available as a CLI, VS Code extension, and GitHub Action.
• LSP-powered analysis: Downloads language server binaries for accurate static analysis.
• Flexible LLM providers: Supports OpenAI, Anthropic, Google, Ollama, OpenRouter, and others via LiteLLM.
• Automated documentation: Generates Mermaid diagrams and Markdown files in a .codeboarding/ directory.