AI BriefingCodeBoarding - Interactive Architecture Diagrams for Codebases
Key point
It is an open-source tool that combines static analysis and LLM inference to automatically generate architecture diagrams and documentation for codebases.
Details
CodeBoarding is an open-source architecture visualization tool that helps humans and AI agents efficiently understand codebases.
It combines Static Analysis and LLM inference to automatically generate high-level architecture diagrams and component documentation. The results are stored in the .codeboarding/ directory in Markdown and Mermaid formats, allowing them to be immediately embedded in IDEs, CI, PRs, and various other environments.
Key features include:
- Incremental update support: Only changed code is re-analyzed, enabling fast operation even on large-scale repositories.
- Broad compatibility: Supports 8 languages including Python, TypeScript, Java, Go, and Rust, and integrates with various LLM providers such as OpenAI, Anthropic, Google, and Ollama.
- Diverse workflows: Provides a CLI for local and CI use, a VS Code extension for editors, and a GitHub Action for automatic updates.
It is optimized for maintaining architecture visibility while AI agents write code, and for reviewing AI-generated changes together with system context to prevent technical debt.
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