Help center

Get TuxNest working for you.

Start with installation and model connection, then use the built-in diagnostic tools to troubleshoot your local-first AI coding workflow.

Start here

Three ways to get unstuck.

Set up the VS Code extension, connect Ollama or a supported provider, and run your first task.

Check model discovery, installation health, connection problems, and stalled operations.

Share a minimal reproduction, VS Code version, and redacted logs in the project issue tracker.

Common questions

No. TuxNest is designed for Visual Studio Code.

Not inside the extension. Local inference depends on your model runtime; optional remote GPUs are configured outside TuxNest and connected via SSH.

Agent mode can propose edits and request the necessary approval; review files and verification output before trusting a result.

Install. Connect. Build.

Install the extension from its official marketplace page.