brewcode:text-human

To remove AI-generated comments and artifacts from code, you need a text humanization process that deletes fake issue numbers, unicode artifacts, and trivial documentation. This skill cleans those markers to make files read naturally.

Code cleanup and documentation simplification is supported for TypeScript and Python, alongside Java, Kotlin, and JavaScript. It removes redundant explanations and unicode artifacts across these languages to ensure human-readable output.

The best way to humanize AI-generated code is to run a post-processing step that strips tell-tale AI markers like fake issue numbers and trivial comments. This ensures the committed code reads like human-written content.

To fix unicode artifacts in AI-generated JavaScript files, apply a text humanization process that targets and removes these specific characters. It cleans the file by deleting AI-generated unicode errors and redundant comments.

Yes, you can use it to clean up trivial documentation after using an AI to generate code. It simplifies documentation by keeping only essential explanations and deleting redundant AI comments, ensuring the output is natural.