# Tired of Explaining Code You Didn't Even Write? Let LLMs Do It.

> Source: <https://dev.to/tab4moji/tired-of-explaining-code-you-didnt-even-write-let-llms-do-it-336b>
> Published: 2026-08-30 23:13:35+00:00

We've all been there.

A teammate walks over (or pings you on Slack) with a massive chunk of unfamiliar code and asks:

"Hey, can you explain what this does? Also, why does this specific edge case work like this?"

Here’s the catch: **You didn't write that code. You've never seen it before.**

Now you’re stuck spending half your afternoon digging through undocumented functions, tracking down call graphs, and trying to reverse-engineer someone else's legacy logic just to answer detailed questions.

Let’s be honest: **I don't want to waste my time manually reading through unfamiliar codebases.** Not when LLMs exist.

Manual code spelunking just to write an explanation is tedious work. So, why not let an LLM do the heavy lifting?

`pystdoc`

I built [ pystdoc](https://github.com/tab4moji/pystdoc) to completely automate this nonsense.

It parses your codebase, analyzes symbol relations and call graphs, and uses LLMs to generate structured documentation and explanations for you.

Just install it:

```
pip install pystdoc
```

Set up your LLM configuration and run it against the target directory:

```
pystdoc run ./path/to/unfamiliar/code
```

That's it. It analyzes the code and generates clear, detailed explanations and documentation so you don't have to decipher every single line yourself.

For advanced configurations, supported languages/parsers, caching, and engine options, check out the project:

Give it a try next time someone asks you to explain mystery code. Feedback and PRs are always welcome!