Nia AI is a context-aware coding teammate that knows your entire codebase for instant architecture insights, multi-file references, automated code reviews, and Slack collaboration—supercharged by advanced LLM orchestration and agentic AI to boost dev velocity.
Hey Product Hunt! Arlan here, founder of Nia AI.
I built Nia after struggling with clunky, single-file code assistants that couldn’t see the bigger picture. As codebases grew to thousands of files and docs got outdated, no tool truly “understood” how everything fit together—so I decided to fix that. I found a way to index and search large codebases such that LLMs can always find the right context, allowing any developer to build dev tools powered by AI.
What makes Nia AI different?
- Deep Repo Indexing: Nia ingests your entire codebase, letting you run multi-file queries and see precisely which parts of your repo matter.
- Context-Aware Suggestions: It leverages advanced LLM orchestration for more accurate code reviews, automated pull requests, and architectural insights—no single-file tunnel vision.
- Slack Integration: Ask Nia questions right where your team communicates. No switching tabs or jumping between tools.
- API support: You can use Nia's API to build your own integrations and have an expert for any codebase.
- Future-Ready: We’re building a platform that can expand into CI/CD pipelines, vulnerability scanning, and more advanced multi-language analysis & reviews using AI Agent!
🔥 In the near term, we’re working on an “Agent Nia” that not only flags issues but also proactively suggests refactors based on your repo’s unique style on every PR.
Nia AI is a passion project—my mission is to cut time wasted on code spelunking, so you can focus on building features users love. I’d love your feedback and would be happy to hear any feature requests or ideas.
Thanks for checking us out, and welcome to Nia’s journey! Feel free to leave questions or thoughts in the comments. Let’s level up code intelligence and move to AGI together.
— Arlan
Very good problem you are trying to address. I face the limitations you mentioned everyday during my interactive programming with AI.
@arlanrakh Nia AI seems like a much-needed upgrade for navigating large codebases—multi-file queries and context-aware suggestions could be a game-changer for dev teams drowning in legacy code. The Slack integration is a nice touch too!
Hey congrats man ! What a amazing tool I am really excited to explore it man 😀 thanks for sharing with us..
@arlanrakh Congratulations on the launch! 🚀 The product looks fantastic! I’m curious about how privacy is handled regarding uploaded code. Specifically, where is the code stored, and is there any possibility it could be shared or influence recommendations for other Nia AI users? For example, if Nia AI learns best practices from one customer’s project, could those insights be used to generate code suggestions for another customer’s project or client?
Congrats on the launch!! I don’t mean to be negative, but how does Nia fair against something like Cursor?
Great product, i would love to use it with the team. One suggestion: include questions asked in Slack responses, it's now obvious to others which question was asked
Hey congrats on the launch! I feel like this tool can really go hand in hand with my product would love to try this out and have a chat sometime!
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!
Nia's been helping me ingest any github repo and understand exactly what code is that others are writing! Proud user!
Super exciting! 🚀 The struggle of navigating massive codebases is real, and Nia AI sounds like a game-changer for making dev workflows more efficient.
Quick question: How does Nia handle outdated or conflicting documentation? Many teams rely on docs that might not reflect recent changes in the codebase—does Nia help bridge that gap by identifying inconsistencies or outdated references?
