Smart Tool Choices Over Complexity: Designing Full-Stack Projects for AI and Humans

As AI coding assistants improve, project foundation quality becomes increasingly critical. This boilerplate demonstrates how deliberate tool selection—Drizzle over Prisma, oxlint over ESLint, Base UI over Radix—reduces accidental complexity and creates codebases that both humans and AI can maintain effectively. By embracing simplicity and adding structure only when problems demand it, developers build sustainable systems without pre-scaffolded abstractions.