Why AI Coding Agents Fall Short for Production Development

Despite impressive capabilities, AI coding agents pose critical risks for production environments—including developer skill degradation, hidden true costs, security vulnerabilities from prompt injection, and unresolved copyright issues. This contrarian perspective challenges the industry's rapid adoption push by highlighting that AI agents cannot yet be trusted with mission-critical code. The debate matters because it forces engineers to think critically about where AI assistance adds real value versus where human expertise remains irreplaceable.