开发人员本地 AI。 无 Docker。无云。无问题。
桌面 AI 编码助手，可以通过 Ollama 完全离线运行。您的专有代码永远不会离开您的计算机。双击安装。
现实情况
大多数开发人员的本地 AI 工具需要 Docker、正常工作的 Python 环境、特定的 Node 版本，以及 45 分钟的配置时间，然后您才能问一个问题。这种摩擦会在工作流开始之前就杀死了。
云编码助手设置速度更快，但它们在外部服务器上处理您的代码。对于在专有或 NDA 保护的代码库上工作的开发人员，这是不可接受的。对于在限制性公司网络上的开发人员，这甚至可能是不可能的。
Skales 如何帮助开发人员
零配置本地 AI。离线工作。您的代码保留给您。
Ollama integration - truly local
Connect Skales to Ollama and run Llama 3, Mistral, DeepSeek Coder, or any model locally. Zero network calls, zero API costs, zero proprietary code leaving your machine. Works on M-series Mac and modern Windows PCs.
Debug, refactor, and review
Paste code and ask Skales to find the bug, suggest a refactor, or review the logic. Voice input supported - describe the problem out loud while looking at the screen instead of switching windows.
No Docker, no config hell
Install Skales with a double-click. No Docker, no WSL2 setup, no Node version conflicts, no Python environment to configure. It runs as a desktop app. You open it and it works.
Context-aware development
Skales has persistent memory. It remembers your project context across sessions - the architecture decisions, the constraints, the naming conventions - so you do not re-explain things every time.
Proprietary code stays local
Working on closed-source code under NDA? Skales with Ollama ensures your codebase never leaves your machine. No API call to OpenAI, no data in Anthropic\
Works without internet
On a plane, in a basement, behind a corporate firewall that blocks AI APIs? Skales with Ollama works fully offline. All AI processing happens on your CPU or GPU - no internet required.
“终于有一个本地 AI 我可以在 5 分钟内设置，而不是 5 小时。而且它实际上离线工作。”