gpt-code-search VS InternGPT

Thanks for the clarification. I was confused since the About link at the top of the linked-to repo has the URL https://wolfia.com prominently displayed. Both projects are very interesting and cool. Thanks!

Key Features: - Efficient: Code search, retrieval, and answering all performed with OpenAI's GPT-4 function calling. - Privacy-centric: Code snippets only leave your device when you ask a question and the LLM requires the relevant code. - Ready-to-use: No need for pre-processing, chunking, or indexing. Get started right away! - Universal: It works with any code on your device. Why is it important? This tool aids in leveraging the power of GPT-4 to scan your codebase, eliminating the need to manually copy and paste code snippets or share your code with another third-party service. The tool addresses these issues by letting GPT-4 identify the most relevant code snippets within your codebase, saving you the need to copy and paste or send your code elsewhere. Notably, it fits right into your terminal, sparing you the need for a new UI or window. Here are the types of questions you can ask: - Help with debugging errors and locating the relevant code and files - Document extensive files or functionalities formatted as markdown - Generate new code based on existing files and conventions - Ask general questions about any part of the codebase Despite a few limitations like the inability to load context across multiple files at once and limited search depth, this tool is a considerable step towards a more efficient coding experience. For those seeking an even more powerful tool that uses vector embeddings and a more robust search and retrieval system, check out Wolfia Codex, the cloud-based big brother to gpt-code-search. That's it!

If you want to get smarter in AI, look here first. All the information has been extracted on Reddit for your convenience but you can find the GitHub repo here.

You can also create an issue and ask the developers for help.