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[ARTICLE · art-42645] src=dev.to ↗ pub= topic=developer-tools verified=true sentiment=↑ positive

I built an AI code documentation tool to clean messy code with zero documentation.

A developer built legacydoc, a tool that generates documentation for undocumented code by pasting code into a web interface. The tool uses an API running on AWS Lambda to process code and return structured documentation in seconds. The developer emphasizes shipping early and plans to add usage tracking and a paid tier for teams.

read1 min views1 publishedJun 28, 2026

If you've ever inherited someone else's code with zero documentation, you know the pain. You spend hours just figuring out what a function does before you can even touch it.

I built legacydoc to fix that.

legacydoc is a tool that takes any undocumented code and generates clean, professional documentation for it instantly. You paste your code, click a button, and get structured docs back in seconds.

No setup. No configuration. Just paste and go.

👉 Try it here: https://legacydoc.io

You paste your code into the input box. The code gets sent to an API running on AWS Lambda, which processes it and returns structured documentation. The whole round trip takes a few seconds.

Here's a simple example. You paste this:

def calculate_discount(price, percentage):
    return price - (price * percentage / 100)

And you get back something like this:

Overview

Calculates the final price after applying a percentage discount.

Parameters

Returns

The discounted price as a float

Example

calculate_discount(100, 20) → 80.0

Deploying to AWS Lambda for the first time was intimidating. I kept running into CORS errors and IAM permission issues. But once it clicked, it clicked. The free tier covers everything for a small tool like this.

The biggest lesson: ship early. I spent too long trying to make it perfect before anyone had even used it. The first version was rough. That's fine.

I'm working on adding usage tracking and eventually a paid tier for teams who want unlimited documentation. If you're interested in following along, I'm building this in public.

Try legacydoc at https://legacydoc.io and let me know what you think in the comments.

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