The AI Paradox: Why Faster Output Doesn't Improve Engineering

While most engineers now use AI tools for various coding tasks, generating code faster doesn't automatically lead to better engineering outcomes. The article argues that AI amplifies existing engineering practices—both strengths and weaknesses—without strengthening the critical work of verification. This means that clear requirements, rigorous review, and sound architecture become more essential, not less, as code generation speeds increase.