Episode Details

When Daniel customized an open-source inventory system with Go, Vue, Nuxt, Postgres, and Drizzle, he noticed something surprising: smart component choices eliminated entire categories of tooling. No separate migration manager, no dedicated type-checker. This episode explores how AI code generation is flipping the old "pick what the team knows" rule on its head. Now the question is: what makes architectural sense? And how does training data coverage affect which stacks AI tools can actually support? We walk through every layer of a modern data-driven app — from database to reverse proxy — and ask whether the pick-and-mix approach is finally viable when AI handles the glue code.