AI Deskills Developers, Raises Tech‑Debt

Developers report that using generative AI for code often forces them to edit and debug imperfect output, which takes more time and prevents them from learning and maintaining mental models. Companies pushing agentic code changes at scale risk accumulating widespread, hard‑to‑untangle technical debt and reducing collective code ownership. — If true, widespread deskilling creates systemic risks for software quality, security, and labor markets as firms scale AI-driven code changes without new auditing or governance practices.