Local AI coding
Local AI coding without shipping your repo to the cloud
Local AI coding means your editor, terminal, and language model run together on your machine. Quietly connects them so suggestions and chat never leave the device unless you choose otherwise.
GGUF models you control
Download models from the app, swap quantizations, and match VRAM to hardware—no vendor lock-in on model host.
Pair-programming in the editor
Ask for refactors, tests, or explanations in context—similar to cloud assistants, with local inference.
Predictable cost
One-time license instead of per-seat API usage—strong fit for heavy daily coding.
A practical local AI coding workflow
Install Quietly, auto-fetch the Llama server bundle, pick Llama.cpp or AirLLM, then download a coding-oriented model (for example Llama 3.1 8B or Qwen 2.5 Coder).
Open a project, use the AI panel for chat, and keep the built-in terminal for builds and tests—all offline after setup.
Privacy expectations for local AI coding
Local AI coding should mean zero telemetry on usage content. Quietly markets no behavioral analytics on prompts or files.
For compliance reviews, pair this page with our Privacy Policy and Terms on quietlycode.org.