Claude Code Platforms: Stop Picking a Favorite: Where to Actually Run Claude Code
Last Updated on June 3, 2026 by Editorial Team
Author(s): Rick Hightower
Originally published on Towards AI.
Claude Code Part 11 Platforms: CLI, IDE, Desktop, or web. Each surface runs the same engine, and the engineers who get the most out of Claude Code switch between them mid-task without thinking twice.
In this article: Claude Code, Anthropic’s agentic coding tool, runs on six different surfaces: terminal CLI, VS Code, JetBrains, a Desktop app, the web, and mobile. They share one model and one loop, so the choice is never about quality. It is about ergonomics. This article gives you a clear decision framework for where to run Claude Code, what each surface is genuinely good at, and how to switch surfaces mid-task without losing your place.
The rest of the article explains why you should stop treating “which Claude Code version” as a one-time choice: all surfaces run the same underlying engine (model plus gather-context → take action → verify loop) and differ mainly in ergonomics. It walks through each platform—CLI for full feature access and scripting, IDE extensions for inline diffs and diagnostics without leaving the editor, Desktop for visual review and parallel sessions, the web for long-running work and quick setup (plus Remote Control for steering local sessions), and mobile as a steering/confirmation layer—then clarifies how local vs. cloud affects configuration visibility. The author emphasizes that switching mid-task is the intended workflow because project state and memory carry over; finally, it provides a practical decision framework and “do this today” checklist for choosing a primary surface, adding Desktop as a secondary option, and bookmarking the web app for when you need to run from elsewhere.
Read the full blog for free on Medium.
Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.
Published via Towards AI
Towards AI Academy
We Build Enterprise-Grade AI. We'll Teach You to Master It Too.
15 engineers. 100,000+ students. Towards AI Academy teaches what actually survives production.
Start free — no commitment:
→ 6-Day Agentic AI Engineering Email Guide — one practical lesson per day
→ Agents Architecture Cheatsheet — 3 years of architecture decisions in 6 pages
Our courses:
→ AI Engineering Certification — 90+ lessons from project selection to deployed product. The most comprehensive practical LLM course out there.
→ Agent Engineering Course — Hands on with production agent architectures, memory, routing, and eval frameworks — built from real enterprise engagements.
→ AI for Work — Understand, evaluate, and apply AI for complex work tasks.
Note: Article content contains the views of the contributing authors and not Towards AI.
Related posts
Recent Posts
