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

说明与用途

作者用完全本地的 Ollama、Continue、Tabby 堆栈替代 GitHub Copilot，零月费，代码不离开本机，满足隐私合规需求，且补全速度更快。

问题

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.

结果

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.

工作流

• 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.

证据

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

来源

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

来源

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

来源