I Replaced GitHub Copilot with a $0/Month Local Stack (Ollama + Continue + Tabby) — My Code Never Left My Laptop Again

Описание и применение

Автор заменил GitHub Copilot на полностью локальный стек (Ollama, Continue, Tabby) за $0 в месяц, сохранив код на своём ноутбуке и устранив риски утечки данных. Стек обеспечивает более быструю автодополнение и удовлетворяет требованиям конфиденциальности клиентов.

Задача

The author wanted to eliminate the cost and privacy concerns of using GitHub Copilot, which sends proprietary code to Microsoft’s servers for $10/month.

Результат

The local stack costs $0/month, offers faster tab‑completion latency (~180 ms vs ~300 ms), and keeps code private. Acceptance rate is slightly lower (~25 % vs ~30 %) but sufficient for boilerplate, tests, and refactors.

Рабочий процесс

• 1. Install Ollama and pull the Qwen2.5-Coder-7B model (4.7 GB).
• 2. Install the Continue extension in VS Code or JetBrains and configure it to use the local Ollama model via ~/.continue/config.json.
• 3. (Optional) Run Tabby in Docker to provide Copilot‑style inline ghost text, pointing it to the TabbyML/Qwen2.5-Coder-7B model.
• 4. Use the IDE’s autocomplete as usual; the local stack provides tab‑completion latency of ~180 ms and an acceptance rate of ~25 %.
• 5. Verify that no code leaves the laptop and that the solution works offline, e.g., on a plane.

Доказательства

Total cost: $0/month. My code has not left my machine since.

Источник

Tab-completion latency: ~180ms (local!) vs ~300ms (Copilot).

Источник

Code leaves my laptop: Yes (Copilot) vs No (local stack).

Источник