SolidGPT VS gpt-repository-loader

Another thing to try is one of the repositories like SolidGPT: https://github.com/AI-Citizen/SolidGPT

Compared to the MetaGPT, SolidGPT allow user to realize a function or a requirement from the code base and providing a detail code plan based on the previous code base. The generate code style is quite similar to the other product

Github: https://github.com/AI-Citizen/SolidGPT

SolidGPT - An new published open source human-AI collaboration multi-agent framework. Working with Notion, Lowdefy, SolidGPT can brainstorm, write PRD HLD, create Kanban, create tasks to Accelerate your software development SOP.

AI Agent + Notion = Standard Software Development Booster

Check it out on our Github repo explore how Notion work with LLM agent to finish the greate work! : https://github.com/AI-Citizen/SolidGPT

Please star us if you like it and no hesitate give us your feedback, appreciate enjoy!

Github: [https://github.com/AI-Citizen/SolidGPT](https://github.com/AI-Citizen/SolidGPT)SolidGPT is a multi-agent framework that allows users to customize the LLM agent and workflow, facilitating deep interactions during task processing. Currently, it's optimized for software development, covering tasks from ideation to implementation.

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