Describe is a command-line tool that simplifies documentation by scanning your codebase and creating a structured Markdown file. It includes a .describeignore feature for selective content extraction, making it ideal for AI integrations and efficient workflows. Keep only what matters and streamline codebase understanding.
Describe is a versatile command-line tool designed to simplify the process of documenting codebases. By scanning a specified directory, it efficiently generates a structured Markdown file (codebase.md
) that encapsulates the contents of the codebase, making it easier for users to understand and navigate the structure of projects.
Key Features
-
Selective Scanning: With support for a
.describeignore
file (formatted similarly to.gitignore
), users can effortlessly exclude unnecessary files and directories. This functionality is particularly beneficial for integrations with chatbots and AI-assisted workflows, ensuring that only relevant content is documented. -
Custom Output Options: Output files can be customized not only by specifying the input directory but also by defining separate output filenames and ignore files. For instance:
describe <input-directory> -output docs.md
-
Wildcards Support: The use of wildcards in the
.describeignore
file allows for flexible pattern matching, making it easy to exclude multiple files or directories with a single rule.
Example of a .describeignore file
The following illustrates how to configure the .describeignore
file for optimal performance:
# Ignore all `.log` and `.tmp` files
*.log
*.tmp
# Ignore entire directories
node_modules/
built/
If no .describeignore
file exists, the tool will create one automatically, adding .git/
as the default entry to keep unwanted files excluded.
Basic Command Usage
To use Describe, simply run:
describe <input-directory>
This command scans the specified directory, applies the ignore rules, and produces a codebase.md
file as output.
For help with usage, the command can be run as follows:
describe --help
Describe streamlines code documentation, making it an ideal solution for developers seeking to enhance codebase readability in a systematic and efficient manner.
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