AI solutions for remote server development
For SSH remote server development scenarios, OpenCode realizes efficient AI assistance through the following architectural design:
- C/S Architecture Advantages: Deploy AI intelligences as resident services, with only lightweight connectivity and low network requirements for local endpoints
- Multi-Terminal Adaptation: Supports multiple devices such as laptop/tablet/mobile phones to connect to the same server instance
- Offline Enhancement Program: Configurable local LLM models (e.g., Llama3) that can still be used in server environments without Internet access
Specific implementation steps::
- Execute the
brew install sst/tap/opencodeInstallation of the server - configure
~/.opencode/config.yamlSetting Model Parameters - utilization
opencode -sStart the server-side daemon - local pass
opencode -c user@serverEstablishing an SSH Tunnel Connection
This solution is particularly suitable for scenarios that require dealing with server log analysis, emergency patching, and so on.
This answer comes from the articleOpenCode: AI Programming Intelligence Running in a Terminal EnvironmentThe
May not be reproduced without permission:AI productivity tools " How to improve the efficiency of AI-assisted programming in remote server development scenarios?
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