The correct option is Automated code synthesis because the scenario describes generating boilerplate and scaffolding from concise requirements or established patterns so developers can focus on more complex work.

This use case aligns with generative AI that produces source code from prompts or patterns. It automates repetitive implementation details, accelerates service setup, and helps teams reduce time spent on routine endpoint creation while maintaining consistency.

Personalized user experience is about tailoring content or interfaces to individual users and does not address generating scaffolding or boilerplate code for services.

Data analysis focuses on extracting insights and patterns from datasets and it does not primarily generate code artifacts for application scaffolding.

Image generation produces visual content and art and it is unrelated to creating service endpoints or code templates.

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