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AI coding copilot that understands your entire codebase
Atlarix is a native desktop AI coding assistant that utilizes a live SQLite-based architecture graph to provide full codebase context for developers. It reduces token usage by querying relevant architectural nodes before loading code, supporting both cloud-based providers and local models via Ollama and LM Studio.
Ideal for: Backend and frontend developers who need an architectural-aware AI assistant that can operate locally or via BYOK cloud models to manage complex codebase structures.
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Auto-detecting the DB engine from a connection string is a nice touch. Less friction on setup is always a win.
@swinchercreative appreciate it, currently working on version 4.0, this will allow devs to get access to slack, jira, sentry , gitlab/bitbucket/github pipelines & errors all without leaving the app, at the same time as managing teams.
@swinchercreative Glad it resonates! The connection string parser was one of those things that felt obvious in hindsight — why make someone type their DB name twice when it
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Comments (2)
This looks interesting have you found using this yourself that it's better than Codex/Claude Code?
@tliesnham Different approach rather than better — Atlarix parses your whole codebase into a live graph first, so the AI has full architectural context before acting (~5K tokens vs ~100K). It also runs any model — Claude, GPT-4, Gemini,
@tliesnham local via Ollama, whatever you use. BYOK, no lock-in. Worth a try if codebase context matters to you.
Hey PeerPush 👋 I'm the developer of Atlarix. Built this to solve one problem: AI coding tools work blind. Atlarix gives the AI a complete visual map of your codebase first. v3.7, Apple Notarized.