"Precise code navigation in 10+ languages helps you move quickly through refs and defs"
I can't find any mention of which languages are supported - can anyone point me in the right direction?
I can't find any mention of which languages are supported - can anyone point me in the right direction?
I used TreeSitter which I thought was pretty awesome though because it allows for parsing a TON of different languages. I had to parse the languages to create the different code snippet strings. I don't want to create a code snippet of half a function for example..
So TreeSitter parses the code into an AST and I send each different AST node to OpenAI to get the vector (I optimized this so multiple nodes of the same AST type are combined). Send the prompt to OpenAI to get a vector. Find the most similar code snippets to the prompt and include them at the top of a prompt to ChatGPT.
This is the same idea right? If anyones interested it can be found here: https://bbarrows.com/posts/using-embeddings-ada-and-chatgpt-...
https://github.com/bebrws/openai-search-codebase-and-chat-ab...
Next level is to select your prompt demonstrations based on the user request. Demonstrations too can be chosen by cosine similarity. The more specific they are, the better. You can "train" such a model by adding more demonstrations, especially adding failing cases (corrected) as demos.
If I see "10+ languages" but it's actually 10, no wait, actually 8, then I'm just getting progressively let down.