infrastructure

For teams building distributed applications—think real-time collaboration tools, mesh networks, or anything requiring devices to talk directly across the internet—the value proposition is straightforward. Authenticated, encrypted connections with NAT traversal handled for you. No signaling servers to maintain, no TURN infrastructure to fund at scale. According to n0's launch post, roughly 95% of data volume transfers directly between devices, with relays serving only as fallback when firewalls or network configurations make direct paths impossible.

A good test suite is, first and foremost, a risk-mitigation measure.
Automated tests reduce the risk associated with changes to an existing codebase - most regressions and bugs are caught in the continuous integration pipeline and never reach users. The team is therefore empowered to iterate faster and release more often.

That’s why we’ve decided to approach the software factory category as infrastructure rather than as a factory product or AI teammate.

The infrastructure that needs to exist to support this model at scale includes better automated regression detection, artifact-level validation that goes beyond diffing changed lines, reliable and fast environment provisioning, and guardrails that hold up under parallel workloads.