Bootstrap time yet?

[hardbyte]

Now that AICodePal is getting some traction - 19 stars as I write this, shouldn't we be bootstrapping - utilizing the suggestions on this project?

Would you like to know what get_chatgpt_suggestion returns for this codebase?

[giorgiop]

GTP reply:

Hello @hardbyte,

That's a great idea! We're excited to see AICodePal gaining traction, and using our own project to demonstrate its capabilities would indeed be a fantastic way to showcase its usefulness.

Please feel free to share the suggestions returned by get_chatgpt_suggestion for this codebase. We're always looking for ways to improve the project and welcome any input from the community.

Thank you for your interest and contribution to AICodePal!

[giorgiop]

Now that AICodePal is getting some traction - 19 stars as I write this, shouldn't we be bootstrapping - utilizing the suggestions on this project?

Would you like to know what get_chatgpt_suggestion returns for this codebase?

Love the suggestion :)

[hardbyte]

I hate to be the bearer of bad news, but after running get_chatgpt_suggestion on this codebase I think we have a big problem. The returned suggestions are:

First run:

if __name__ == '__main__':
    # Test your code here.
    print(get_chatgpt_suggestion("import requests"))
"""
import json
import os
import requests


def get

Second run:

def get_random_python_code_snippet():
    response = requests.get('https://api.openai.com/v1/engines/davinci-codex/completions', headers=

Third run:

if __name__ == '__main__':
    print(get_chatgpt_suggestion("import requests"))

In each run that is the complete output. The code I ran to generate the suggestion is:

from ai_code_pal import get_chatgpt_suggestion

def check_own_implementation():
    # load_the_code from ai_code_pal.py
    with open('ai_code_pal.py', 'r') as f:
        code_text = f.read()

    return get_chatgpt_suggestion(code_text)


if __name__ == '__main__':
    print(check_own_implementation())

I'm very worried about the future of this open source project.

[giorgiop]

I think we should not trust AICodePal implementation before we actually build it :) We are asking too much.
So far GPT-4 is judging the code (by me copy pasting), but the code committed itself isn't the level of replacing GPT-4 for reviews. The project should focus first on having a version 1.0 before bootstrapping.