You need to rewrite your CLI for AI agents (justin.poehnelt.com)

In a recent announcement, Justin Poehnelt emphasized the need for developers to rethink Command Line Interfaces (CLIs) to better accommodate AI agents. Unlike traditional user interfaces designed for human interaction, agent-oriented CLIs must prioritize predictability and robust input validation to protect against the unique challenges posed by AI inputs. Poehnelt outlined that CLIs should provide machine-readable outputs and self-describing schemas to enable seamless agent interactions, eliminating the "translation loss" experienced when using conventional human-first designs. Key features recommended for agent-friendly CLIs include enhancements such as defining payloads in JSON for better nested data handling, utilizing field masks to streamline API responses, and implementing safety measures like input validation to guard against potential hallucinations from AI agents. By integrating features like `--dry-run` for validating commands without executing them and providing runtime schema introspection, developers can ensure their CLIs are both responsive and secure. The shift towards these agent-centric designs is crucial as AI agents increasingly become a primary interface for system interactions, necessitating an evolution in how command-line tools are built and maintained.