This article argues that AI tools speed up code delivery but raise cognitive strain, erode satisfaction, and drive developers into a cycle of nonstop, draining work. It breaks down how skipping hands-on coding reduces ownership and fulfillment, then offers steps to restore enjoyment, pride, and sustainable workflows.

• AI can cut coding time in half (4 hours → 2 hours) but leaves developers mentally drained instead of satisfied, so they skip breaks and chase the next task without ever feeling "done"
• The constant plan-generate-review loop is more cognitively taxing than writing code by hand, since reviewing/debugging AI output is draining and error-prone compared to the tactile, meditative act of writing code
• HBR frames this as "cognitive exhaustion from intensive oversight of AI agents"—workload increases in both volume and intensity
• Offloading core problem-solving to AI erodes ownership and pride in the work, making engineers feel like script managers rather than creators, even as job titles stay unchanged

This article argues that building and using AI agents can trigger a genuine addiction, driven by constant dopamine hits and FOMO. It quotes Steve Yegge’s “AI Vampire” warning and points to studies showing heavy LLM use erodes critical thinking, urging regular breaks to preserve creativity and well-being.

• Steve Yegge describes agentic programming as genuinely addictive, likening it to a vampire that craves constant feeding via dopamine/adrenaline hits
• FOMO and "permanent underclass theory" plus employer pressure push developers into burnout-inducing all-nighter coding marathons
• MIT research found heavy LLM use erodes critical thinking and deep analysis
• Exeter's Saeema Ahmed-Kristensen notes humans still beat AI at truly novel ideas, making regular breaks from prompt-chaining essential to preserve creativity