Tips, tutorials, and deep dives on AI code detection, humanization techniques, and developer workflows.
Run Black from the command line, format on save in VS Code, add a pre-commit hook, or use a free online formatter.
How opinionated each formatter is, how much you can configure, speed, and which one to pick for your project.
Find the entry point, follow the data, run it, and use an AI explainer safely — including how to check it is right.
The tokenize module, a free online tool, and removing docstrings safely — plus why regex breaks your strings.
Babel, Terser and esbuild options, the regex trap with URLs and regex literals, and a free online tool.
Python and JavaScript one-liners that handle acronyms, libraries to use, and renaming variables in real code safely.
A practical guide to cleaning up AI-generated code so it matches your codebase and passes review.
Learn the techniques AI detectors use and how to make your code reliably pass them — without breaking functionality.
How model-written code differs from maintained code — and how to close the gap.
Clean up ChatGPT Python: restating comments, camelCase locals, == None and needless temporaries.
Remove comment scaffolding, extra wrappers and generic class names from AI-generated HTML.
Free ways to make AI code match your codebase, compared honestly.
What signals AI code detectors look for, which tools are most accurate, and how to reliably make your code pass them.
Bring AI-generated C and C++ in line with the naming and comment style of your codebase.
A hands-on checklist for cleaning up AI-generated Lua for Roblox, LÖVE and game scripts.
Clean up AI JavaScript so it matches your conventions, without touching object keys or APIs.
Use Code Humanizer in your browser — what the free plan includes and how to use it.