Show HN: How distributed Claude Code is built on a tunnelling service (nfltr.xyz)

A new project called nfltr has been launched, significantly enhancing Claude Code’s capabilities by enabling distributed computing across multiple machines. Claude Code, known for its ability to split tasks among subagents, now leverages nfltr to operate as a centralized hub that starts and manages agents across various nodes, ensuring that tasks can be executed concurrently while adhering to unique machine configurations and constraints. This is particularly advantageous for scenarios where datasets and services are confined to specific environments or when tasks require parallel execution to increase efficiency. The significance of this development lies in its potential to streamline workflows in AI and machine learning environments, where resource allocation and speed are critical. With a robust architecture that maintains task integrity and security through encrypted connections, nfltr allows for flexible task management while ensuring that results are accurately tracked and delivered seamlessly, even across node disconnections. This advancement not only enhances the efficiency of operations but also safeguards sensitive data by ensuring that it remains on the original machine, thus addressing common issues faced in distributed computing systems.