From Command to Conversation: Integrating Agentic AI Into Command-Line Interfaces

Abstract

The command-line interface evolves as LLM-based agentic systems add tool execution, planning, and persistent state, enabling autonomous multistep tasks while introducing new security risks today. This article synthesizes empirical evidence on productivity effects, examines current implementations, and provides practitioners with concrete guidance for safe adoption.