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Basic Information

CodeBoarding is an open-source codebase analysis tool that generates high-level diagram representations of codebases using static analysis and LLM agents. It extracts modules and relationships from a project control flow graph and builds different levels of abstraction via an AI interpretation layer so both humans and agents can explore system structure. The project includes an orchestration engine, repository manager, static analysis engine, API service, job database and an output generation engine to manage analysis jobs and deliver documentation. Outputs are interactive Mermaid.js diagrams intended for embedding in documentation, IDEs, and CI/CD. The system supports local or remote LLM inference and multiple provider integrations, and is aimed at improving onboarding, documentation, and comprehension of large, complex software systems.

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App Details

Features
Extracts modules and relationships using static analysis of control flow graphs. Uses an AI interpretation layer and LLM agents to generate multiple abstraction levels and human-readable insights. Produces interactive Mermaid.js diagrams that integrate into docs, IDE extensions, and CI/CD workflows. Orchestration components include an API service, job database, orchestration engine, repository manager, static analysis engine and output generation engine. Integrations include a VS Code extension, a GitHub Action and an MCP server for agent consumption. Provides configuration via static_analysis_config.yml and environment variables for LLM providers, repository paths and result directories. Includes language scanning and langserver setup steps and a demo runner script to analyze GitHub repositories.
Use Cases
Speeds onboarding and documentation by converting code structure into concise visual diagrams and narratives that developers and AI agents can query. Helps comprehension of large or unfamiliar codebases by extracting module relationships and producing layered abstractions that surface important components and flows. Integrates into developer workflows via IDE extension and CI automation so diagrams can be generated and kept up to date. Supports private repositories with token configuration and lets teams choose inference providers and analysis depth using environment variables and static analysis config. Shipping examples and many generated visualizations demonstrate applicability across frameworks like PyTorch and FastAPI. A simple demo command runs the analysis and writes diagram outputs to a chosen directory.

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