The article compares human “rockstar” developers—who produce clever but inscrutable code—with AI tools that can churn out massive, disjointed codebases. It shows how both create unmaintainable systems and recommends guiding AI to generate small, understandable snippets, slowing down to match architecture to problem complexity, and keeping craftsmanship in human hands.

• AI coding tools act like "rockstar" developers of old: producing huge volumes of code fast, but leaving behind unmaintainable messes once the task is "done"
• Unchecked AI output leads to tangled codebases so complex that only another AI can parse them, creating technical debt that's effectively unpayable
• The fix is treating AI as a guided tool rather than an autonomous contributor: small prompts, human-understandable code, and matching architecture complexity to the actual problem
• Sometimes writing a few lines by hand beats wrestling with AI-generated noise—craftsmanship can't be outsourced