The Digital Press

AI coding assistants give developers the feeling of working faster, but studies show they often slow down experienced engineers and introduce security risks.

Why it matters: AI speeds up boilerplate and scaffolding but creates extra review, debugging, and juggling overhead that cancel out gains.

The big picture: Productivity boosts mainly benefit junior developers; senior devs see little improvement or slower outcomes with AI help.

The stakes: AI-generated code has 2.5x more critical vulnerabilities and raises compliance risks due to leaked secrets and insecure commits.

Commenters say: Many agree that real bottlenecks lie outside coding—meetings, debugging, and environment issues—and warn AI’s security risks could cause costly problems.