AI-Assisted Coding's Double Edge: How Productivity Gains Hide Technical Debt

This critical analysis reveals a fundamental paradox: while AI-assisted development tools and large language models can dramatically boost developer productivity, delegating entire engineering processes to these systems creates hidden technical debt, false success metrics, security risks, and fragile architectures. The author's six-month experience demonstrates that AI has not replaced software engineering—it has made genuine expertise in algorithms, systems architecture, mathematics, and security understanding absolutely essential.