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The post describes a reproducible PHP-to-Java migration 'engine' built as versioned Kiro skill files (php-to-java-migration and php-model-discovery) that run an eight-phase, parity-first workflow inside a .kiro workspace. It also notes a native integration so AWS Transform can run the same skill-driven pipeline agentically at portfolio scale while Kiro supports interactive, single-app runs.
Mistral migrated a physics‑intensive reservoir simulator—about 40,000 lines of Fortran 77—into C++ by building a numerical parity harness, using AI agents (via Vibe CLI and Mistral OCR) to document and translate components, and combining structured agent workflows with human review. Key lessons: prioritize numerical agreement checkpoints, reconcile scattered documentation before refactors, and balance agent autonomy with human oversight to ensure maintainable, verifiable results.
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