ai-coding-agents-remote-runtime

# AI Coding Agents Remote Runtime Use this skill to design or review coding-agent runtimes where execution happens remotely but the user still interacts through a local CLI or terminal UI. This skill covers remote sessions, bridge transports, viewer-only clients, SSH-style local-UI remote-tool flows, and remote approval routing. ## ASCII Flow ```text local client / terminal UI | v bridge transport WebSocket | SSE | HTTP POST | ACP stdio | SSH-like tunnel | v remote runtime agent loop + tools + sandbox + session store | +--> permission request -> bridge -> local owner decision -> remote execution +--> stream events -> bridge -> local rendering +--> reconnect -> sequence resume or replay from checkpoint ``` ## Quick Reference | Question | Read | Outcome | |----------|------|---------| | What should the remote runtime model look like? | [`references/local-ui-remote-execution-model.md`](references/local-ui-remote-execution-model.md) | Local UI, remote agent loop, viewer modes, and mode boundaries | | How should bridge transport and approval work? | [`references/bridge-transport-and-permission-bridging.md`](references/bridge-transport-and-permission-bridging.md) | WebSocket control flow, permission bridging, reconnect, and message adaptation | | Which transport should I use (WebSocket vs SSE vs HTTP POST vs ACP stdio)? | [`references/transport-selection.md`](references/transport-selection.md) | Decision tree, criteria, hybrid patterns, and...