AI Code Comment Generator

When did you last write a comment that helped someone? Not "increment the counter" above a line that increments a counter, but a note that saved a colleague half an hour?

Comments have a bad reputation because most of them restate the code. The useful ones explain a decision, a constraint or a trap, and those are exactly the ones nobody has time to write. The AI Code Comment Generator produces both kinds, and you keep the ones worth keeping.

What is AI Code Comment Generator?

This tool reads code and writes the commentary that should sit alongside it. Doc comments above a function describing parameters and return values. Inline notes at the lines that are not self explanatory. Warnings where a subtlety would otherwise be missed.

The prompt box asks you to paste the code you want explained. The difference from an explainer tool is the Output Format setting: choose Inline Comments or Doc Comment and you get code back with commentary in it rather than prose about the code.

Why Use AI Code Comment Generator?

Documenting existing code is a task with no deadline attached, which is why it never happens. Making it a two minute job rather than an afternoon changes whether it happens at all.

There is also a consistency benefit. Doc comments written by six people over three years have six different shapes. Generated ones with your conventions in Custom Instructions have one, and a consistent format is what makes generated documentation usable later.

Who Should Use It?

• Developers documenting a shared library where every exported function needs a doc comment
• Teams adopting a documentation standard across code written before it existed
• Anyone handing over a project and wanting the tricky parts annotated
• Learners who want the code they are studying annotated as they read it
• Reviewers asking for comments on a change and wanting to show what good looks like

How Does AI Code Comment Generator Work?

Prompt box. Paste the code you want commented, including the signature and any existing comments worth keeping.

Model selector. Set the engine, from MSB AI, OpenAI ChatGPT, Google Gemini, Anthropic Claude AI, xAI Grok AI, DeepSeek, Qwen, Meta AI, NVIDIA AI, OpenRouter AI and MiniMax.

Advanced options accordion. Ten controls in total: Language, Explanation Depth, Audience and Output Format as dropdowns, four toggles, a Depth slider and a free text field.

Generate button. Code, model and settings pass through the prompt engineering layer written for code explanation, which is the instruction set that keeps the code intact and adds the commentary around it.

Output card. The commented code appears under the button with a live word count, plus copy, listen, reuse, download and open in full view.

Export row. DOC, TXT and HTML. TXT is the one for anything going back into a source file.

Activity history. Session generations stay listed, which is how you comment several functions from the same file and keep the style consistent across them.

Step-by-Step Guide

1. Open the AI Code Comment Generator and paste the function with its signature.
2. Put your documentation standard into Custom Instructions before the first run.
3. Set Output Format to Doc Comment for a public function, Inline Comments for a dense block.
4. Set Audience to Team, which produces comments for colleagues rather than for learners.
5. Generate, then delete every comment that only restates the code.
6. Keep the ones that explain a decision, a constraint or a trap.
7. Check the doc comment against the real signature, particularly parameter names.
8. Repeat for the next function in the same session so the style stays consistent.

Key Features

Advanced Options Guide

Example Inputs

The best input is a function whose behaviour is not obvious from its name.

def next_billing_date(start, cycle, skip_weekends=False):
    d = start + relativedelta(months=cycle)
    if d.day != start.day:
        d = d.replace(day=1) + relativedelta(months=1, days=-1)
    if skip_weekends and d.weekday() >= 5:
        d += timedelta(days=7 - d.weekday())
    return d

Six lines, and the middle two are a month end rule that nobody reading this will recognise. That is exactly what a comment is for, and exactly what would never get written by hand at five in the afternoon.

Settings: Language Python, Output Format Doc Comment, Audience Team, Note Edge Cases on, Depth 45, Custom Instructions "Google style docstrings, document the month end behaviour explicitly".

Tips & Common Mistakes

• ✅ Documentation standard set in Custom Instructions
• ✅ Output Format matched to doc comment or inline
• ✅ Depth kept moderate
• ✅ Restating comments deleted before committing
• ✅ Parameter names in the doc comment checked against the signature

AIToolsay is a free AI tools platform where every tool is a dedicated workspace with its own prompt engineering and its own options panel, rather than one general chat box under a long list of names. All tools are free to run and none of them need an account. You also choose which engine answers, from MSB AI, OpenAI ChatGPT, Google Gemini, Anthropic Claude AI, xAI Grok AI, DeepSeek, Qwen, Meta AI, NVIDIA AI, OpenRouter AI and MiniMax. The wider platform adds an AI directory, an AI models directory, courses, prompts, guides and news, all reachable from the AIToolsay homepage.

Frequently Asked Questions

Good comments are a gift to whoever opens the file next, including you. Paste the function, set your standard once, keep the notes that explain decisions and constraints, and delete the ones that only say what the next line already said.

Thanks for reading, and enjoy the doc comments you have been meaning to write since March. If this becomes part of how you finish a change, join the AIToolsay community, follow along on social media, turn on push notifications for new tools, and subscribe to the newsletter for the occasional summary.

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