Measured on execution traces from a real enterprise deployment, the framework produced a Business Requirements Document in under nine minutes per service.
The extracted business rules were independently corroborated against real production defect records, and the agents use static analysis tools and are guided by embedded expert-practitioner cognitive models.
The authors claim a cost reduction above 98% against a baseline built from repository metrics with IFPUG complexity models and industry labor rates; a comparable prior migration to the same architecture took over two years.
Terms in this piece · Glossary
multi-agent — Using several AI agents on one problem — splitting work in parallel, checking each other, or filling different roles like planner and reviewer.
Why it matters
A real enterprise-scale deployment of a multi-agentUsing several AI agents on one problem — splitting work in parallel, checking each other, or filling different roles like planner and reviewer.Full definition → reverse-engineering pipeline, showing a concrete architecture (specialized agents plus static analysis plus human escalation gates) for a genuinely hard agentic task.
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