AGUELLID CODE Validates Auditable COBOL-to-Python Engine at Planetary Scale

With 220 billion lines of COBOL still running mission-critical systems worldwide, deterministic and auditable code transformation has become essential—especially in banking, insurance, and government where AI hallucination is unacceptable. AGUELLID CODE's validation of non-LLM COBOL-to-Python conversion at 98.78% success rate on 15,552 real-world programs proves that deterministic transformation engines can reliably modernize legacy systems at scale without sacrificing transparency or compliance requirements.