🤖 AI Summary
A developer has successfully set up a workflow that allows them to run Claude Code on their Mac and monitor it through their iPhone using SSH, Tailscale, and tmux. This setup enables them to receive notifications when the AI coding assistant needs input or completes tasks, enhancing their productivity by allowing them to step away from the laptop without losing control of the coding session. The workflow involves key tools like Tailscale for secure connectivity, tmux for session persistence, and notification services like ntfy to alert the user across devices.
This innovation is significant for the AI/ML community as it highlights the potential for seamless multi-device workflows, especially in a world where remote access and flexibility are increasingly crucial. The technical approach combines modern networking tools and session management, demonstrating a practical use case for integrating different platforms. While the developer notes some challenges, such as typing limitations on mobile and notification overload, the ability to engage in complex coding tasks away from a desk marks a noteworthy advancement in user efficiency, underscoring the versatility of AI coding assistants in daily workflows.
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