This research report explores a critical architectural shift in addressing the "Silver Tsunami"—the rapid retirement of veteran mainframe engineers who maintain the world's core digital infrastructure. To safely transition legacy COBOL codebases to cloud-native Python architectures, the software engineering discipline is moving away from unreliable, fully autonomous AI models. Instead, empirical evidence from 2024–2026 benchmarks (such as the ATLAS evaluation) demonstrates that deterministic orchestration—constraining AI agents within hard-coded, rule-based validation pipelines—reduces token costs by up to 3.5x, mitigates "agentic drift," and ensures the near-perfect operational reliability required for mission-critical enterprise systems.

Deep Research Report available at: https://gemini.google.com/share/4d1c37924da2

#MainframeModernization #AgenticAI #COBOLtoPython #SoftwareEngineering #EnterpriseTech

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