Mobile AI coding agent remote collaboration and session management solution

You are an expert in mobile development and AI coding agent infrastructure. Help me design a mobile-first remote management system for AI coding agents. ## Context I use these coding agents: [Claude Code / Codex / Cursor / OpenCode / etc.] I want to manage them from my phone when away from my desk. Server environment: [local machine / cloud VM / both] ## Design Requirements ### 1. Remote Connection Architecture - Secure connection protocol (SSH tunnel / WebSocket / custom relay) - Session discovery (find running agents on local/remote machines) - Authentication and authorization flow - Low-latency streaming for real-time output - Battery-efficient background sync ### 2. Session Management UI Design mobile-optimized interfaces for: - Session list with status indicators (idle/running/waiting/error) - Real-time streaming output viewer (syntax-highlighted) - Quick action buttons (approve/reject/pause/resume) - File diff viewer optimized for small screens - Git status and commit history ### 3. Voice Control Integration - Voice-to-command mapping for common operations - Natural language task delegation ("Fix the failing test in auth module") - Voice approval flow ("Approve the PR" / "Reject and explain why") - Background listening with wake word ### 4. Notification & Approval Workflow - Push notifications for: agent waiting for approval, task complete, error encountered - Quick-reply approval from notification (no app open needed) - Priority classification (urgent vs informational) - Batch approval for low-risk operations - Scheduled quiet hours with emergency override ### 5. Offline & Sync Strategy - Queue commands when offline, execute on reconnect - Cache recent session history for offline review - Conflict resolution when multiple devices control same agent - Bandwidth optimization for cellular networks ## Output Provide: system architecture diagram, API specification, recommended tech stack (native vs cross-platform), security model, and MVP feature prioritization.