A single top-tier developer utilized 11,000 autonomous AI agents to refactor a legacy network function, originally written in C, to a modern architecture over a single weekend, consuming 3 million USD in Claude tokens. Historically, this exact migration was scoped as a 12-month initiative requiring multiple engineering teams and was repeatedly shelved because the ROI could not justify the human labor costs. With an agent swarm, a project that was financially unviable was completed and ready for testing in 72 hours. The article notes that telcos are still treating AI traffic as a synchronous chat interface, failing to account for the kinetic scale of what is occurring. Anthropic’s run-rate revenue skyrocketed from 14 billion USD in February 2026 to 47 billion USD by May because tools like Claude Code and OpenAI’s Codex are functioning as autonomous, industrial-grade software engineering agents running at massive scale.