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Founder here. We have a VS Code extension that automatically fetches context from your codebase.



So if source available libraries are imported, they are also parsed by the AI?

So if I create a GPT for my open-source library as a way to fund it, all these copilot etc. are going to compete with me?

Just wondering because that would be a bummer to not have this avenue to fund open-source code.


I am not related to Phind or any other AI company, but yes, this is definitely the case, and you should assume that they will be ingesting your code through regular web scrapes now (giving extremely general knowledge about your library) and through reading specifically the library source code soon (this is what you are asking about here). If you wanted to try this strategy, I would suggest that you do it by providing the model with a large database of high-quality examples specific to your library (so, perhaps the examples section of your website, plus snippets from open source projects that use the library). These will probably be the last to be specifically ingested by general coding models.


Thanks for releasing Phind-CodeLLaMA-34B-v2, it's been helping me get up to speed with node and web apps and so far it's been spot on. :) Super impressive work.


Woah , didn't know that! Thanks for pointing out!


Does the plugin use the codebase code in the model itself for training, or does it stay locally? Just curious about the privacy.


We won’t use your codebase for training. And there is an option you can toggle that disables data retention entirely.




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