TuxNest · local-first AI engineering
Model configuration
TuxNest supports user-owned local and remote model workflows.
Built around control.
Minimal interface, explicit model choice, reviewable changes and evidence you can inspect.
01Capability matters
Coding, tool use and context needs differ by task.
02Context matters
Repository-scale tasks need sufficient context or hierarchical evidence storage.
03Routing matters
Complex tasks should not automatically fall to the smallest available model.
Local AI should feel local.
Your editor, your model runtime, your hardware and your approval remain first-class parts of the workflow.