Architecture Before Generation: Why Structure Prevents Technical Debt in AI Development

As AI code generators become mainstream, the challenge is no longer speed—it's preventing accumulated technical debt. This analysis reveals a critical principle: without pre-defined design systems and architectural patterns, AI-generated code creates costly maintenance burdens that multiply refactoring work. For developers leveraging AI tools, the solution is establishing clear design constraints and system architecture upfront, transforming generators from rapid prototyping shortcuts into reliable long-term development partners.