A retrieval-augmented scaffolding method using template retrieval and agentic clarification loops improves architectural consistency and deployability of AI-generated services over standard AI code generation.
In: Proceedings of the 34th International Conference on Neural Information Processing Systems
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Architectural Constraints Alignment in AI-assisted, Platform-based Service Development
A retrieval-augmented scaffolding method using template retrieval and agentic clarification loops improves architectural consistency and deployability of AI-generated services over standard AI code generation.