Viktor.comAn AI coworker that actually does the work
Promoted
Nia is an API layer that gives agents continuously monitored, always up-to-date context from libraries, research papers, and technical documentation, without hours of manual ingestion. It also works as an MCP server or agent skill for products like Cursor and Claude Code, so coding agents can pull reliable external context on demand and avoid version drift and hallucinations.
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Launch Team / Built With
@john_tans thank you so much! lmk how it goes: https://discord.gg/8M3T3mgn8k
Congratulations on the launch @arlanrakh . Is there something that sets Nia AI apart from these apps (cursor, Trae, Cline)which were already in the market.
@bellam_saiteja Hey Saiteja, thanks for the congrats!
What really sets Nia AI apart is that it indexes your entire codebase, so it can handle multi-file queries and map dependencies across 100K+ lines of code—something the others can’t do with their limited token windows. Plus, we’re working on an upcoming “Agent Mode” that will automatically flag issues, suggest refactors, and even kick off code reviews and PRs on every commit. Personally, I struggle a lot with code reviews so having a teammate by my side would help a lot:)
Hope this helps. Lmk what you think!
@arlanrakh Great, how are you handling token windows while working with large codebases?
@bellam_saiteja Great question, Saiteja! We tackle token window limitations by dynamically chunking large codebases using chunking + vector DBs . Then, we use a multi-step retrieval pipeline with LangChain/LangGraph with other tools to help us manage very large codebases.
Osaurus
@arlanrakh what's the max context window that you can support? How do you achieve that?
@chrismessina Great question! We don't rely on a fixed max context window—instead, we dynamically break your codebase into smaller, vectorized chunks stored in a vector db. While the underlying LLM has a token limit (say, 200k tokens for 3.5 sonnet), our approach effectively lets you work with context spanning 100K+ lines of code.
Nia's been helping me ingest any github repo and understand exactly what code is that others are writing! Proud user!
@omar_dadabhoy2 Proud to have you! Thanks for your support brother!!
Coldtea
@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).
Coldtea
@arlanrakh I see. I'll give a try then. Thanks!
Helpdesk by LabiDesk
@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!
Helpdesk by LabiDesk
There's nothing else that a coder needs, just someone who is going to be there alongside them on the long nights & who actually understands the codebase - I think you've nailed it Arlan & I look forward to seeing how this platform progresses.
Best of luck w/ the launch!
@cranqnow Thank you so much!
My pleasure Arlan!!
As a solo developer I'm always looking for new tools to help speed up my workflow. This looks like it could be a great addition to my bag of tricks. Great job by the team!
@shant_hambarsoumian Thank you so much! Let me know if you have any feedback! Always happy to help.