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https://github.com/contextco/codebasechat
Create a GPT chatbot for any GitHub repo in just 30 seconds
https://github.com/contextco/codebasechat
ai artificial-intelligence chatbot github gpt
Last synced: about 1 month ago
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Create a GPT chatbot for any GitHub repo in just 30 seconds
- Host: GitHub
- URL: https://github.com/contextco/codebasechat
- Owner: contextco
- License: mit
- Created: 2023-11-23T17:58:55.000Z (10 months ago)
- Default Branch: main
- Last Pushed: 2024-06-18T16:19:21.000Z (3 months ago)
- Last Synced: 2024-07-23T05:27:00.292Z (about 2 months ago)
- Topics: ai, artificial-intelligence, chatbot, github, gpt
- Language: Ruby
- Homepage: https://codebasechat.com
- Size: 392 KB
- Stars: 31
- Watchers: 2
- Forks: 5
- Open Issues: 1
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Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# CodebaseChat
_Made in London by [Context.ai](https://context.ai?utm_source=codebasechat&utm_medium=github)_Create a GPT chatbot for any GitHub Repo in just 30 Seconds!
Blog post: https://context.ai/post/codebasechat
Have a question about this repo? We built [a GPT](https://chat.openai.com/g/g-6eEQn0yBn-chat-with-my-codebase) you can chat with:
[![gpt-screenshot](https://github.com/contextco/codebasechat/assets/146003115/8bf289e4-4529-4e06-969d-2b710ed169d5)](https://chat.openai.com/g/g-6eEQn0yBn-chat-with-my-codebase)## Instructions
1. Go to [CodebaseChat.com](https://codebasechat.com)
2. Paste the URL to any public GitHub repo and enter your email
3. CodebaseChat will send you a `repo.md` file
4. Go to OpenAI's [GPT editor](https://chat.openai.com/gpts/editor) and click "Configure"
1. If you don't ChatGPT Plus you can use the [Assistants Playground](https://platform.openai.com/playground)
5. Upload `repo.md` and enter some instructions to the LLM (CodebaseChat provides a suggested starting point)
6. Use your chatbot to answer questions about the codebase## Contributing
Have an idea for improving this project? Feel free to send us a PR!## Chatbot Analytics
If you're building a conversational AI or LLM product, you'll want to have analytics. [Context.ai](https://context.ai?utm_source=codebasechat&utm_medium=github) can help you understand user behavior and track LLM performance. It takes < 30 mins to set up and start generating product insights. To learn more, request a demo at [Context.ai/demo](https://context.ai/demo?utm_source=codebasechat&utm_medium=github).[![logo-color](https://github.com/contextco/codebasechat/assets/146003115/d6dd0e31-6453-4785-905d-a64f73c2e236)](https://context.ai?utm_source=codebasechat&utm_medium=github)