A case study and pattern catalogue arguing that Task Decomposition and RAG improve modularity, safety, testability, and time-to-market in a real enterprise workflow generator, with no quantitative evaluation.
A taxonomy of software engineering challenges for machine learning systems: An empirical investigation,
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Generating a Low-code Complete Workflow via Task Decomposition and RAG
A case study and pattern catalogue arguing that Task Decomposition and RAG improve modularity, safety, testability, and time-to-market in a real enterprise workflow generator, with no quantitative evaluation.