AIF-C01 Practice Question 45: Spec Driven Development
AWS Certified AI Practitioner (AIF-C01) · Test 5 · question 5 of 10
A software team wants an AI-powered development environment in which an agent first turns a feature request into written requirements, a design, and a task list, and then implements the tasks. The team also wants to automate agent actions when files change and to enforce its project standards automatically. Which AWS offering is designed for this?
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Answer:
Kiro is an agentic IDE, an AI-powered development environment for building software from prototype to production. Its specs turn a feature into requirements, a design and tasks before the agent implements it. Hooks automate actions when the agent changes files, uses tools or completes tasks, and steering enforces project standards automatically. That spec-driven workflow is exactly what the team describes (option A).
- B is wrong because SageMaker AI is a service for building, training and deploying machine learning models. It isn't an IDE that plans and writes application features. - C is wrong because Prompt Management stores and versions prompts for generative AI applications. It doesn't plan or implement software. - D is wrong because AWS Transform is focused on migrating and modernizing existing workloads, not building new features from a written spec in an IDE.
Reference: Kiro documentation