60-Minute AI Coding Challenge: Building a Pictionary Game with Amazon Q Developer & Amazon Nova
Update: Kiro CLI is the next iteration of Amazon Q CLI! Update your Amazon Q CLI to Kiro CLI today, or download Kiro CLI at Kiro.dev/cli!
Watch Erik and Du'An tackle an epic 60-minute coding challenge where they build a complete image identification game from scratch! Using only Amazon Q Developer for assistance (no Google, no Stack Overflow), they create a full-stack Pictionary-style application with Vue.js/Next.js frontend and Python Flask backend, powered by Amazon Nova for AI image generation and Amazon Bedrock for intelligent responses.
This challenge showcases the power of AI-assisted …
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Chapters (18)
Introduction & Challenge Setup
0:30
Planning the Game Architecture
1:15
Setting Development Constraints
1:33
Frontend Framework Selection (Vue.js/Nuxt.js)
1:55
Game UI Design & Layout
2:30
Backend API Planning
2:54
Amazon Nova & Bedrock Integration
3:38
Starting Development
4:22
Setting Up Dependencies & GitHub
4:47
Frontend Development with Tailwind CSS
5:28
Backend Flask API Creation
6:34
Amazon Q Developer Assistance
7:13
Creating Game Pages
7:49
Backend Endpoint Development
8:29
Context Management with Amazon Q
9:14
Git Integration & Version Control
10:00
Frontend-Backend Connection
11:19
Im
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