AI workflow replaces 30-person engineering team

This is a "holy shit" moment for legacy modernization and a warning shot for traditional engineering capacity planning. Multi-agent systems can now parallelize complex refactoring tasks that were previously too context-heavy for a single person or LLM. Incorporating QA codebases and functional tests into the AI's context is the "secret sauce" for generating functional, bug-free code at scale. The shift from "writing code" to "orchestrating agents" reduces project timelines from years to hours, fundamentally breaking existing labor-cost models. "Evidence gathering" from wikis and tickets allows AI to understand undocumented legacy logic better than new human hires.