AutoPR VS gpt-repository-loader

The github is : https://github.com/irgolic/AutoPR

Check it out, and let me know if you have any ideas on how you'd like to use it or make it better.https://github.com/irgolic/AutoPR

Added a manual trigger, here's the PR your issue generated: https://github.com/irgolic/AutoPR/pull/27

Agreed. Would love to see this project take off: https://github.com/irgolic/AutoPR

- Opens PRs for the generated code, making it easy to review and merge changes.

By using this GitHub Action, you can skip the manual steps of prompt design, and let the AI handle code generation and PR creation for you.

Here's how I used AutoPR to make the license for itself: https://github.com/irgolic/AutoPR/pull/4

Feel free to give it a try, and I would love to hear your feedback! It's still in alpha and it works for straightforward tasks, but I have a plan to scale it up. Let's see how far we can push GPT-4 and create a more efficient development process together.

Happy coding!

So I have been toying on an automated PR GitHub Action for a bit but seeing this spurred me to actually put it into a format for y'all to try. It uses GPT-4 to automatically generate code based on issues in your repo and opens pull requests for those changes.

You can find my solution here: https://github.com/irgolic/AutoPR/

What I can do:

- Automatically generates code based on issues in your repo.

A good approach is to use a tool like this that turns an entire repo into a single file you can upload to GPT: https://github.com/mpoon/gpt-repository-loader (not my own repo). I find that much cleaner than doing a bunch of copy-and-pasting or uploading files one-by-one.

I have made an AI-bot that knows ALL of NextJS set up on my localhost. I can ask anything and it outputs the answer, context, examples and references. I used https://github.com/mpoon/gpt-repository-loader to create the files and loaded them into https://github.com/dabit3/semantic-search-nextjs-pinecone-langchain-chatgpt , then added OpenAI API to shape the { result } to my wishes. Works decently

You might start with this: https://github.com/mpoon/gpt-repository-loader

You may be interested in this: https://github.com/mpoon/gpt-repository-loader

I've had access to the 32k model for a bit and I've been using this to collect and stuff codebases into the context: https://github.com/mpoon/gpt-repository-loader

It works really well, you can tell it to implement new features or mutate parts of the code and it having the entire (or a lot of) the code in its context really improves the output.

The biggest caveat: shit is expensive! A full 32k token request will run you like $2, if you do dialog back and forth you can rack up quite the bill quickly.

https://github.com/mpoon/gpt-repository-loader here is open source take on part of this concept