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Building a Game with Claude: Fast Prototypes vs. Technical Debt at Scale

Matt explores recent Claude AI updates including Cowork, Claude 4.6 improvements, and market reactions. He demos a real-world workflow: capturing an idea on his phone for a Hawaii-themed bingo/scavenger hunt game, prototyping it with Claude, then using Claude Code with a multi-agent approach to build a fully working web app with accounts, photo capture, and randomized bingo cards—hosted on Render with PostgreSQL. While impressed by the rapid prototyping power, he draws on his enterprise experience with ClickBid/Laravel to warn about AI-generated code bloat and technical debt that emerges at scale. He questions whether LLMs can consistently meet production-grade standards and compares AI service reliability to established cloud providers. 00:00 Welcome + Why I’m Talking AI Again (Sorry, Marketing!) 00:23 Claude’s New “Agentic” Tool Use & What’s Actually Changing 02:12 Working With Claude as a Mid-Level Dev (and Getting Code Reviewed) 04:15 Real-World Demo: Voice-Prompting a Photo Bingo Game Idea 05:47 Claude Builds a JSX App… and the Prototype Hits a Wall 08:18 Leveling Up with Claude Code: Render + Postgres + Storage + Agents 11:11 The Finished Aloha Bingo Web App Walkthrough (Login, Events, Photos) 13:13 Deploying to Render + Why AI Makes Prototyping Insanely Fast 14:34 The Catch: Tech Debt, Duplicated Code, and Scaling Reality Checks 18:47 Status Pages Don’t Lie: LLM Reliability Gap vs AWS/Cloudflare + Wrap-Up