code-documentation

Automated in-code documentation detects exported functions and generates language-native docstrings or comments. It applies conventions like JSDoc, Python docstrings, or GoDoc to public symbols across multiple languages to ensure IntelliSense-ready references.

Yes, auto-documentation supports Javadoc and Rust doc comments alongside JSDoc, Python docstrings, XML docs, and GoDoc. It detects language conventions automatically and updates documentation comments for public exports while preserving existing non-exported comments.

Updating JSDoc comments to reflect current behavior is best handled by running an automated documentation tool. It refreshes existing documentation comments on exported TypeScript symbols and ensures the generated API references are IntelliSense-ready with examples.

Refreshing in-code documentation for public symbols preserves existing non-exported comments. The tool specifically updates or inserts language-native documentation comments for public exports while safely handling edge cases and leaving internal code comments untouched.

Making exported APIs IntelliSense-ready requires generating language-native documentation comments across your codebase. Automated documentation scans public symbols and inserts the appropriate formats, such as XML docs for C# or Python docstrings, to provide behavioral references.

You should avoid automated code documentation if your project relies heavily on non-standard comment formats or lacks clearly defined public exports. The tool targets language-native conventions for exported symbols and may not suit highly customized or undocumented internal workflows.