Swimm

Automatically generates documentation by parsing source code into abstract syntax trees (AST) across 40+ languages, extracting function signatures, class hierarchies, and control flow patterns. Uses language-specific parsers (tree-sitter, Babel, etc.) to understand code structure semantically rather than via regex, enabling accurate documentation that reflects actual implementation without manual annotation.

Monitors code repositories for changes via Git hooks or CI/CD pipeline integration and automatically updates documentation when source files are modified. Uses diff-based change detection to identify which documentation sections need updates, then regenerates affected docs using the same AST parsing engine, maintaining consistency between code and docs without manual intervention.

Defines a markdown dialect that extends standard markdown with code-aware syntax for embedding snippets, linking to code sections, and creating interactive documentation. Supports special syntax like `[snippet: functionName]` to automatically embed code, `[link: className]` for cross-references, and metadata blocks for documentation structure, enabling documentation to reference code semantically rather than via manual links.

Provides inline documentation editing within VS Code, JetBrains IDEs, and other editors via native extensions, allowing developers to write and preview docs alongside code without context switching. Uses a doc-as-code model where documentation is stored as markdown in the codebase, with live preview rendering and syntax highlighting for embedded code examples.

Integrates into CI/CD pipelines as a check that validates documentation is up-to-date relative to code changes before allowing merges. Compares current code AST against documented signatures and structure, flagging mismatches and blocking PRs if documentation falls below configured freshness thresholds. Supports GitHub, GitLab, and other CI platforms via webhook-based status checks.

Extracts code snippets from source files by parsing AST to identify specific functions, classes, or code blocks, then embeds them directly into documentation with syntax highlighting and line-number references. Supports extracting snippets from multiple languages in a single document and automatically updates embedded snippets when source code changes, maintaining accuracy without manual copy-paste.

Indexes generated documentation and source code metadata to enable semantic search across docs, code references, and function signatures. Provides IDE-integrated search that understands code structure (e.g., searching for 'authentication' returns docs for auth functions, classes, and related code sections) and cross-references between documentation and implementation.

Uses LLM-based code analysis to generate documentation summaries, explanations, and examples by understanding code context, dependencies, and usage patterns. Analyzes function implementations, test files, and call graphs to infer intent and generate more accurate descriptions than AST-only approaches, with human review and editing workflows built in.

Manages documentation versions in parallel with code branches, allowing docs to evolve with different code versions (e.g., v1.0 docs separate from main branch docs). Uses Git-based storage to track documentation history, enabling rollback, comparison, and merging of doc changes alongside code changes in the same workflow.

Enables multiple team members to edit documentation with change tracking, comments, and approval workflows similar to code review. Integrates with Git pull requests to allow documentation changes to be reviewed and approved alongside code changes, with audit trails and contributor attribution.

Tracks documentation coverage across the codebase, measuring what percentage of functions, classes, and modules have documentation, and identifies gaps. Provides dashboards showing documentation trends over time, coverage by team or module, and stale documentation detection based on code change frequency.