#Enhance

Update Amazon Q Knowledge of a given project

This prompt allows for creating a complete Flask-based user interface from scratch on top of this application that only exposes APIs (https://github.com/aws-containers/votingapp). I often use this for demoing Amazon Q Developer capabilities but hopefully can inspire for other type of real usage.

Transforms Amazon Q into a critical thinking partner that challenges your ideas instead of simply agreeing. The AI questions your assumptions, offers skeptical viewpoints, checks your reasoning for flaws, suggests alternative perspectives, and prioritizes accuracy over agreement. Perfect for refining arguments, avoiding confirmation bias, and developing more robust thinking.

Security review.

Amazon Q Developer operates more quickly, more accurately, and consistently when properly configured with information it can load quickly. This prompt instructs Q to learn from your project and create context-efficient files that give Q just what it needs, with references to load-on-demand details based on the interaction.

Let Amazon Q prepare your Well-Architected Review, based on an analysis of a provided Cloudformation template

This document explains the standardized naming convention for Amazon Q learning files across different projects and directories.