A new method has been developed for integrating language models into engineering maintenance pipelines, focusing on repairing machine-readable artifacts that fail due to environmental changes. This approach, tested on web extraction, configuration migration, and flaky-test repair, emphasizes a verification-first strategy to prevent silent failures where incorrect repairs go unnoticed. The system's effectiveness relies heavily on the quality of the oracle and the evidence provided to the language model, rather than the model's inherent capability, with prompt constraints and narrowed evidence significantly improving precision. AI
IMPACT This method could enable more robust and scalable automated repair of machine-readable artifacts in various domains.
RANK_REASON The item describes a novel method for applying language models to a specific engineering problem, detailing its design and invariants. [lever_c_demoted from research: ic=1 ai=1.0]
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