A Sublime Text package that simplifies writing DocBlock comments for JavaScript, PHP, CoffeeScript, and other languages.
DocBlockr is a Sublime Text package that automates the creation of documentation comments (DocBlocks) for multiple programming languages. It analyzes code structure to generate comment templates, infer types, and provide tag completions, significantly speeding up the documentation process. The tool helps developers maintain consistent and thorough documentation with minimal effort.
Developers using Sublime Text who write code in JavaScript, PHP, CoffeeScript, C++, or other supported languages and need to generate detailed API documentation. It's especially useful for teams adhering to JSDoc, PHPDoc, or similar documentation standards.
DocBlockr saves time by automating repetitive documentation tasks, reduces errors through intelligent type inference, and supports a wide range of languages and documentation styles. Its deep integration with Sublime Text and high configurability make it a powerful tool for maintaining clean, consistent documentation.
Simplifies writing DocBlock comments in Javascript, PHP, CoffeeScript, Actionscript, C & C++
Supports over a dozen languages including JavaScript, PHP, C++, and Rust, making it versatile for multi-language projects without switching tools.
Detects variable types from naming conventions like 'is' for booleans and allows custom notation maps, reducing manual guessing and errors.
Offers numerous settings for comment alignment, indentation, and extra tags, enabling teams to enforce consistent documentation styles.
Automatically generates templates and completions without keyboard shortcuts, streamlining the documentation workflow in Sublime Text.
Last updated in 2015, so it lacks support for newer Sublime Text versions and modern language features, risking compatibility issues.
Exclusively works in Sublime Text 2 and 3, making it irrelevant for developers using other popular editors or seeking cross-platform solutions.
Legacy settings with prefixes like 'jsdocs_' and numerous options can be confusing and time-consuming to tailor for advanced use cases.
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