Nia

@alan_rivera Thank you so much! I am available 24/7, just DM me on Linkedin: www.linkedin.com/in/arlan-rakhmetzhanov

@hhendrix Always welcome! Keywords is such a game-changer.

@ohansemmanuel Hey, thanks for asking! While Cursor is great code editor overall, Nia AI is built to index your entire codebase. This means we overcome the 200k-token window limitation, enabling multi-file queries and a complete view of dependencies across 100K+ lines of code. We’re focused on delivering deep architecture insights and automating code reviews—plus, our upcoming Agent Mode will proactively suggest refactors and flag issues. In short, Nia AI is designed for larger, more complex projects where understanding the whole picture is key (+deep github integration).

@arlanrakh I see. I'll give a try then. Thanks!

@aleksbchkv Great question, and thanks for the kind words!

Here’s how we handle privacy:

When you upload your code, Nia processes it to generate vector embeddings and an internal context—this helps power our precise, multi-file insights. However, we don’t store your raw source code permanently. The embeddings we generate are ephemeral and isolated to your project only. This means that insights, best practices, or any contextual data derived from your code are not shared or used to influence recommendations for other customers. Each customer’s data is kept separate to ensure privacy and confidentiality.

Hope that clears things up!

@sukhrob_abdullaev Thank you brother!

@kay_arkain thank you so much! lmk how it goes