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Nia

AI code agent that actually understands your codebase

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.

Top comment

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 As codebases grew to thousands of files and docs got outdated, no tool truly “understood” how everything fit together—so I decided to fix that.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