Agentic Coding is a Trap
Summary
The article argues that agentic coding and AI coding agents risk cognitive debt and skill atrophy, highlighting trade-offs like increased system complexity, vendor lock-in, and rising token costs. It advocates a disciplined approach that uses AI as a planning and delegation aid while keeping hands-on coding and critical review to preserve skills and control.