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Coding With AI and Wanting to Try Codex

1:00 PM (d) on May 22

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I am not loving, but somehow enjoy coding with ai. I'm keen on trying out Open AI's codex, which sounds promising. I'm keen on launching soon.

The image displays a coding environment on a computer screen, specifically showcasing a Python script titled `import_rss.py`. The interface appears to be a code editor, likely Visual Studio Code, indicated by the layout and color scheme.

On the left side, there is a file explorer panel with a directory structure labeled "angrypages." This includes folders such as `management`, `media`, `advertising`, and `news`, among others. The file `import_rss.py` is highlighted, suggesting it is currently open for editing.

The main section of the screen shows the code itself, which includes various Python constructs such as function definitions, exception handling, and comments. The code is formatted with indentation and includes several lines of text that are partially visible. Notable lines include:

- A `try` block that attempts to execute a command using `subprocess.check_output()`.
- An `except` block that handles `SSLError` and `RequestException`.
- A line that raises an error if the response status is not successful.
- A line that parses the response content using `feedparser`.

There are also several comments in the code, indicated by the `#` symbol, which provide context for the code's functionality.

On the right side of the screen, there is a chat interface, possibly from a coding assistant or AI tool, displaying a conversation about caching XML data. The text includes suggestions for code modifications, such as using `cache.set()` and parsing the feed with `feedparser`.

The top of the screen shows the macOS menu bar, indicating the operating system in use. The time is displayed as 7:04 AM on a Wednesday, May 21. The battery icon shows a charge level of 62%, and the Wi-Fi icon indicates a connection.

Overall, the image captures a technical coding environment focused on Python programming, with an emphasis on RSS feed handling and error management.