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AWS Scholar Ships AI Chatbot Using Agents, Questions Whether Directing Code Counts as Learning

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A student in the AWS AI & ML Scholars Agent Developer track completed their first project — a customer support chatbot called Nova Trivium built on Amazon Bedrock AgentCore — using AI coding agents rather than writing the code manually. The chatbot handles three routing paths: bug reporting via DynamoDB, FAQ-based platform answers, and human escalation. Despite full disclosure and program approval of the AI-assisted approach, the student grappled with whether directing and validating an AI agent constitutes genuine technical learning. The build was complicated by mismatched starter files pinned to an outdated boto3 version incompatible with the AgentCore APIs, a discrepancy traced to seven stale workspace files that a classmate identified by comparing them to the updated GitHub repository. The experience led the student to adopt gated build plans with QA checkpoints and to reflect publicly on the value of transparency in AI-assisted learning.

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AWS Scholar Ships AI Chatbot Using Agents, Questions Whether Directing Code Counts as Learning · ShortSingh