# What's it like to code with GPT-4?

Below are some chat transcripts showing what it's like to code with the help of GPT-4. They were recorded using the [aider command line tool](https://github.com/paul-gauthier/aider).
In the chats, you'll see a varity of coding tasks like generating new code, editing existing code, debugging, exploring unfamiliar code, etc. It's worth noting that:

  - Each time GPT-4 suggests a code change, `aider` automatically applies it to the source files.
  - After applying the edits, `aider` commits them to git with a senisble commit message.
  - `aider` notes each time a source file is added to the chat session. Once added, these files are available for review and editing by GPT-4. The user adds files either via the command line or the in-chat `/add` command. If GPT-4 asks to see specific files, `aider` asks the user for permission to add them to the chat.

## Chat transcripts of coding sessions with GPT-4

* [Hello World Flask App](hello-world-flask.md): Creating a simple Flask app with various endpoints, such as adding two numbers and calculating the Fibonacci sequence.

* [Pong Game with Pygame](pong.md): Creating a simple Pong game using the Pygame library, with customizations for paddle size and color, and ball speed adjustments.

* [2048 Game Modification](2048-game.md): Exploring and modifying an open-source javascript repo for the 2048 game, including adding randomness to the scoring system.

* [Complex Multi-file Change with Debugging](complex-change.md): A complex code change involving multiple source files and debugging.

* [Semantic Search & Replace](semantic-search-replace.md): Updating a collection of function calls, which requires dealing with various formatting and semantic differences in the various function call sites.

* [CSS Exercise: Animation Dropdown Menu](css-exercises.md): A small CSS exercise involving adding animation to a dropdown menu.

* [Automatically Update Docs](update-docs.md): Automatically updating documentation based on the latest version of the main() function.

## Transcript formatting

> Output from the aider tool is shown in a blockquote like this.

#### > The user's chat messages are bold and shown on a prompt line like this. They contain they user's change requests, clarifications, etc.

Responses from GPT-4 are in a plain font like this, and often include colorized "edit blocks" that specify edits to the code.
Here's a sample edit block that switches from printing "hello" to "goodbye":

```python
hello.py
<<<<<<< ORIGINAL
print("hello")
=======
print("goodbye")
>>>>>>> UPDATED
```