arXiv: cs.AI preprintsInternational5 November 2026
Hybrid LLM-Deterministic Pipelines for Enterprise-Scale Code Migration at Bloomberg
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arXiv:2611.05457v1 Announce Type: cross Abstract: Large organizations carry a long tail of infrastructure migrations that are worth doing but rarely urgent enough to compete with feature work, because each one costs significant engineering time per repository. This paper reports on our industrial experience from Automated Uplift, a multi-month initiative applying LLM-assisted migration pipelines across thousands of Bloomberg repositories. We examine two distinct production campaigns: a heterogeneous Python packaging migration (approx. 1,900 candidate repositories) and a uniform C++ build syste
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