# Code Cheatsheets

My personal coding notes/snippets that I always have open when I'm coding to add to or search. It is meant to be terse and for application and thus requires good background knowledge. I started this in the beginning of 2018 and so all my knowledge from before then(CS classes) are absent.

<https://openai.gitbook.io/>

### My Guidelines

* Purpose is not to learn concepts, but to remember syntax and usage
* This isn't not meant to be everything or very advanced/complex usage, just things used often
* The more often used ideas should be near the top of docs
* Accuracy of information is super essential, but incomplete information/ideas/questions/sentences will be put down
  * Put a `*` on the section or piece if the code/idea is AI generated and unconfirmed

## Structure

* `All` folders will have the notes and languages, but the main level should be for my favorite languages because I use it soooo often and it can get annoying to navigate otherwise. It does mean some stuff can be in two places, but easier to use
* Each folder can have
  * README.md for the most general/basic concepts and examples/syntax
  * setup.md to describe how to install and get boilerplate working
  * packages folders for nonstandard packages, but general/standard packages often used can be left in the main folder
* If two folder concepts overlap, then it will be where it seems most useful/what folder you will already be in when you need it (still pretty vague)
  * e.g Docker in AWS will be in AWS folder not the Docker folder
  * e.g Python AWS SDK will be in the Python folder not the AWS folder

## Usage

* My current favorite tool to access is [Typora](https://typora.io/) b/c lightweight, instant/inline markdown visualization, and quick open shortcut


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://openai.gitbook.io/code-cheatsheets/readme.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.