Why Claude Code Uses a CLI Instead of an IDE – Benefits and Trade‑offs

Why Claude Code Uses a CLI Instead of an IDE

Claude Code (CC) founder Boris Cherny explained in his "Mastering Claude Code in 30 minutes" talk that Anthropic chose a terminal‑based CLI for two main reasons. First, Anthropic engineers use a wide variety of IDEs—VS Code, Zed, Xcode, Vim—so creating a single IDE that works for every product would be extremely difficult; the terminal is the only universally available interface. Second, the rapid pace of AI development may soon render traditional IDEs obsolete, and Anthropic wants to avoid investing heavily in UI and low‑level capabilities that could become irrelevant.

Benefits of Using Claude Code

Parallel Development

Because CC runs in the terminal, developers can open multiple terminal tabs and split tasks so they do not interfere with each other, enabling high‑efficiency parallel execution. Cherny shared on X that he often works with five tabs simultaneously, dramatically speeding up coding. In contrast, using an IDE can cause blocking when a planned operation occupies the UI.

Cross‑Device Collaboration

CC offers a web version, a desktop client, a Chrome extension, and plugins for VS Code and JetBrains, allowing seamless collaboration across different environments. The author also notes that installing the Claude Code plugin in IDEA lets users converse with the AI while viewing file changes, and the plugin can automatically retrieve information about the currently opened file.

Lightweight Footprint

Running multiple IDEs and projects consumes a lot of memory and can cause system lag. By contrast, a terminal‑based tool is extremely lightweight, avoiding the heavy resource usage of full‑featured IDEs.

Model‑Native Adaptation

As an official Anthropic tool, CC can immediately leverage the latest model capabilities such as MCP and Skills, giving it a "first‑party" advantage. For example, Claude Code supported Skills before the competing Cursor product added the same feature.

Flexible Vendor Switching

Many AI coding IDEs lock users into specific model providers without clear indication of which model is used. CC allows users to change the model service by modifying an environment variable, and the open‑source cc-switch utility (https://github.com/farion1231/cc-switch) simplifies this process.

Powerful Built‑In Features

CC includes a native "Plan" mode where Claude only performs read‑only analysis and planning without modifying code, ideal for safely understanding complex codebases before generating changes. Placing a CLAUDE.md file at the project root lets the AI remember project‑specific knowledge such as coding style, common commands, and architectural decisions. The official ralph-loop plugin (https://github.com/anthropics/claude-plugins-official/tree/main/plugins/ralph-loop) enables repeated prompting of the AI agent for multi‑turn iteration, improving output quality. Additionally, the planning-with-files Skill (https://github.com/OthmanAdi/planning-with-files) adopts a Manus‑style workflow that turns work processes into persistent markdown files for planning, progress tracking, and knowledge storage.

Conclusion

Claude Code demonstrates that developers can break out of the traditional IDE comfort zone and adopt a terminal‑centric workflow that combines the strengths of multiple tools. By embracing a CLI, CC offers parallelism, cross‑platform collaboration, low resource consumption, immediate access to cutting‑edge model features, easy vendor switching, and extensible plugins, making it a compelling option for modern AI‑assisted development.