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codeboarding

repository·main·Indexed 25 days ago

https://github.com/codeboarding/codeboarding

Interactive Diagrams for Code that provide developers and AI agents with visual maps of codebases. By combining static analysis with LLM reasoning, it generates architecture diagrams, component documentation, and Mermaid outputs to help understand large repositories and review AI-generated changes. Version 0.13.3.

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What's inside codeboarding

  1. Identify core components and their responsibilities

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    The system is composed of several specialized modules:

    ComponentResponsibility
    User Interface / API GatewayPrimary entry point; orchestrates job creation and provides results.
    Job Management & PersistenceManages state and history of all analysis tasks.
    Code Repository AccessFetches source code and manages code diffs.
    Static Analysis EnginePerforms structural analysis of source code.
    AI Interpretation LayerCore intelligence; uses LLM agents to generate insights from static analysis and diffs.
    Output Generation EngineTransforms insights into documentation and diagrams.
    UnclassifiedContains utility functions, external libraries, and dependencies.

  2. How the Cluster Topology & Metadata Manager works

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    The Cluster Topology & Metadata Manager provides the foundational logic for managing cluster definitions and metadata. It uses graph community detection to derive metadata, which is then used to summarize symbol groups. It is responsible for handling incremental clustering exceptions to ensure the structural integrity of the code analysis.

    Key components involved in this layer include:

    • agents.cluster_ids.CodeBoardingClusterIds: Manages stable identities for components.
    • agents.cluster_methods_mixin.ClusterMethodsMixin: Provides methods for summarizing groups and managing cluster logic.
    • agents.agent_responses.ClusterAnalysis: Represents the results of cluster analysis.
    • diagram_analysis.exceptions.IncrementalClusteringError: An error raised when incremental clustering fails.

  3. How the Multi-Language Toolchain Auditor works

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    The Multi-Language Toolchain Auditor & Binary Provisioner is the central orchestrator for environment readiness. It performs the following tasks:

    1. Evaluates Host Readiness: Checks the host system for existing programming language toolchains.
    2. Resolves Requirements: Identifies and resolves missing platform-specific requirements.
    3. Manages Binary Lifecycle: Queries language requirements, performs cross-platform checks, and manages the lifecycle of external binaries.

    Key components involved in this process include install.LanguageSupportCheck for evaluating support and install.download_binaries for provisioning missing tools.

  4. How the Snapshot Manager & Delta Orchestrator works

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    The Snapshot Manager & Delta Orchestrator is the core engine responsible for calculating architectural shifts between different versions of a codebase. It manages the lifecycle of architectural state by:

    1. Capturing States: Creating ClusterSnapshot objects that represent the structural state of the code at a specific point in time.
    2. Calculating Differences: Orchestrating the StructuralClusterDiff process to identify high-level changes at both the language and cluster levels.

    This component allows the system to materialize snapshots and determine how the structural organization of a project evolves over time.

  5. Analyze code structure and files with CodeBoarding agent tools

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    CodeBoarding agents use a specialized set of tools to navigate and understand codebases. Key tools include:

    • ReadFileTool: Used to read the content of specific files via ReadFileInput.
    • ReadDocsTool: Used to read documentation files, featuring cached_files to optimize repeated reads.
    • FileStructureTool: Used to understand the directory layout via DirInput and get_tree_string.
    • CodeStructureTool: Used to analyze the internal structure of the code (classes, functions, etc.).
    • PackageRelationsTool: Used to understand how different packages relate to one another.
    • CodeReferenceReader: Used to read specific source code modules via ModuleInput.
    • GetCFGTool: Used to read configuration files.

  6. Understand the Agent Response Data Model

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    CodeBoarding uses a structured data model for agent responses, primarily defined in agents.agent_responses. These models are designed to be serialized and used by LLMs. Key abstractions include:

    • LLMBaseModel: A base class for response models that provides methods for LLM-friendly string representation (llm_str) and JSON schema generation (model_json_schema). It includes logic for hiding or excluding specific fields from the LLM's view.
    • Component: Represents a logical unit of code, containing metadata like file_paths.
    • Relation and RelationEdge: Model the connections between components. Relation aggregates RelationEdge objects and provides methods for merging and analyzing them.
    • SourceCodeReference: Provides a structured way to refer to specific snippets of source code.
    • ComponentApiSurface: Describes the public interface of a component.

    Most response classes implement an llm_str method, which is the primary way to convert the structured object into a text format suitable for inclusion in an LLM prompt.

  7. How the Static Analysis Grounding Provider works

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    The Static Analysis Grounding Provider supplies the raw data required to verify component interactions. It provides the underlying static analysis results that the rest of the system uses to validate architectural claims.

    It provides access to:

    • Class hierarchies: Understanding inheritance and type relationships.
    • Package dependencies: Mapping how different packages depend on one another.
    • Method-level CFG data: Providing Control Flow Graph information to verify the actual execution paths between components.

    Key data is accessed via the StaticAnalysisResults class, which includes methods like get_hierarchy(), get_package_dependencies(), and get_reference().

  8. Core Agent Runtime & Tool Execution

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    The Core Agent Runtime provides the base execution environment for agents. It manages the primary agent loop, error handling, and provides essential tools for filesystem and git interactions. This layer ensures that agents can execute tasks, handle failures gracefully, and interact with the local development environment.

  9. How the Language Server Protocol (LSP) Adapter Registry works

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    The LSP Adapter Registry provides specialized interface implementations for different programming languages. It is responsible for configuring interactions with LSP servers and ensuring that the correct initialization sequence is followed for each language. This abstraction allows the StaticAnalyzer to interact with various language tools through a unified interface, regardless of the underlying language-specific protocol details.

  10. Maintain Security and Performance

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    Code must be reviewed for security vulnerabilities and performance bottlenecks:

    Security:

    • No Hardcoded Secrets: Never commit API keys, passwords, or tokens. Use environment variables.
    • Injection Prevention: Use parameterized statements for SQL and escape shell commands (use lists, not strings).
    • Path Traversal: Validate file paths using Path.resolve().
    • Sensitive Data: Ensure PII (emails, names) and secrets are not included in logs or error messages.

    Performance:

    • Complexity: Avoid $O(n^2)$ loops. Use sets for lookups instead of lists.
    • Memory: Use iterators/streaming for large files instead of loading them entirely into memory. Use context managers to prevent leaks.
    • Caching: Use @lru_cache or the project's internal cache for expensive operations.

  11. Understand the Component Schema and Structural Definitions

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    CodeBoarding uses Pydantic models to define the structural schema of a codebase. This includes defining architectural building blocks, file classifications, component boundaries, and public API surfaces.

    Key data structures include:

    • Component: Represents a core architectural building block.
    • ComponentApiSurface: Defines the public API of a component.
    • Relation: Represents relationships between components.
    • FileClassification: Defines how files are categorized within the architecture.
    • SourceCodeReference: Links architectural elements to specific locations in the source code.

  12. How CI/CD Automation and Multi-Format Reporting works

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    The CI/CD Automation & Multi-Format Reporter handles repository lifecycle management and transforms internal analysis data into various documentation formats suitable for automation environments. It can generate Markdown, HTML, MDX, and RST files, facilitating seamless integration into CI/CD pipelines (e.g., via GitHub Actions).