What kind of project would you trust Atlarix with first?
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About Atlarix
Atlarix is a private AI coding workspace where your development team plans a feature, builds it, reviews it, tests it, and refines it — with AI doing the heavy lifting, so a small team ships like a much larger one. It runs on your own machine. Your codebase never gets uploaded to anyone's servers to get AI help — the work stays local, and the app reaches out only where you tell it to. Nothing indexes your repo and no embeddings are built: search is bundled ripgrep, so there is no index to build or go stale. For teams handling proprietary or sensitive code, that's the difference between adopting an AI tool and not being allowed to. What you get: - One workspace for the whole build — plan a feature, build it, review it, test it, refine it, without leaving the app or stitching tools together - Nothing runs until you approve it — every file change arrives as a diff you accept hunk by hunk, and shell commands run inside a per-OS write-confining sandbox - It learns your codebase — Atlarix keeps notes on your project as you work, so it gets sharper on your system the longer you use it - Watch it work in real time — see each step as it happens, approve or redirect as it goes - Set-and-forget runs — schedule unattended tasks with a hard budget, so nothing runs away - Connects to your other tools — any MCP server, plus skills you write as markdown files and commit alongside your repo - Talk to it — voice dictation through any audio-capable model or your own speech-to-text key The app is free. Every feature is on every plan — nothing is gated. What you pay for is inference on the models we host, as pay-as-you-go credit you top up from $10, and you can skip that entirely by bringing your own API key or running a local model through Ollama or LM Studio. Pro, at $19 a month, adds Atlarix Reviewer for pull-request review and includes Core for everyday work over one shared balance. macOS, Windows and Linux. Built in Nairobi, by one engineer, under NorahLabs. Not venture-backed, not trying to be the biggest — just the best-built, most honest option for teams who want serious AI development without handing their code to someone else's cloud.
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