Future AWS Agent Engineer? I Didn't Write the Code. Does It Count?
A few weeks ago I wrote about hitting ReAct in the coursework and having a record scratch moment, because I had already met it without knowing its name. That post ended on a section called "Building Ahead of Understanding," which was me making peace with shipping things before I fully understand them. This week I shipped my first chatbot. It passed on the first attempt, on deadline day, on a…
The author wrote about their experience of building a chatbot for a customer support task on AWS Bedrock AgentCore. They faced technical challenges with the starter files, which were outdated and did not align with the project instructions. Despite this, they completed the project and passed the evaluation. The author reflects on their role as a director, validator, and decider, and how they established checkpoints to ensure the AI agent could not fake passing.
They also discuss the importance of verifying specifications and the pitfalls of relying on unspecified details. The chatbot project is part of AWS AI & ML Scholars program, which provides fully funded nanodegree tracks for individuals with no prior experience in AI.
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