Why AI coding agents are bringing the CLI back | Galtea Blog

In 2026, AI coding agents like Claude Code, Cursor, and GitHub Copilot are transforming how APIs are accessed, favoring command-line interfaces (CLIs) over traditional software development kits (SDKs) due to their efficiency in task execution. These agents prioritize shell commands because they offer a streamlined path for integration, bypassing the complexity of language SDKs. This shift is driven by the need for rapid, agent-driven workflows, as seen with companies like Stripe and AWS, which provide CLIs that agents can easily navigate. The introduction of formats like Anthropic's Agent Skills and the Model Context Protocol (MCP) enhances this by formalizing agent-tool interactions, ensuring agents can execute commands accurately without improvisation. Galtea, for example, has adapted by offering a CLI and an open-source Agent Skill that allows AI agents to interact seamlessly with their platform, streamlining tasks such as product evaluations and error analysis. This evolution reflects a broader industry trend where dashboards become secondary to efficient terminal-based operations, emphasizing the need for clear, automated integration pathways to optimize adoption and functionality in AI-driven environments.