# Claude Code Has Four Interfaces. Most Teams Test the Wrong One First. > A breakdown of Claude Code's four interfaces, compared on setup, features, and fit, with a clear rule for where your team should start. **Type:** Breakdown · **Read time:** 7 min · **For:** Managing Partner, COO · **Published:** 13 Jun 2026 **Video companion:** https://www.youtube.com/watch?v=3bWAXGnw_d4 [All resources](https://aigenticlab.com/resources) · [View as HTML](https://aigenticlab.com/resources/claude-code-four-interfaces) --- ### The wrong test ## Why most firms dismiss Claude Code before giving it a fair trial Most consultancies hear "Claude Code" and picture a terminal window. They hand it to a developer, get a lukewarm response, and quietly file it under "not for us yet." That is the wrong test, run on the wrong person, for the wrong reason. It is also exactly how AI hype does its damage. A poorly chosen starting point generates a lukewarm result, and a genuinely useful tool gets dismissed before it has had a fair trial. Claude Code has four distinct interfaces — web, desktop, IDE, and CLI. They share the same underlying engine, but they behave differently, suit different users, and fit different points in a professional services workflow. Pick the wrong entry point and you will underestimate the tool. Pick the right one and you can move from client brief to first deliverable in a fraction of the time. > Pick the wrong entry point and you will underestimate the tool; pick the right one and you can move from client brief to first deliverable in a fraction of the time. ### What's at stake ## What this actually fixes for your firm If you are running discovery, proposals, status reports, and engagement documentation across multiple clients, you already know the problem. Every project is a silo. Context gets copied manually. Senior time gets spent on assembly rather than analysis. Claude Code addresses this through shared context and agent handoffs across tasks. One project can hold all the relevant files, outputs, and instructions, and the tool works across them without you rebuilding the picture every time. But you can only use that capability if you are accessing it through an interface your team will actually open. ### Zero setup ## Web — accessible anywhere, but not your production home The web version launched in October 2025. You go to claude.ai/code, connect a GitHub account, and you are working. No installation, no configuration, no admin access required. That last point matters more than it sounds: if your team operates on client devices, or you are trialling Claude Code without IT sign-off, the web interface is often the only viable starting point. It runs in a browser, so it passes most corporate security filters without a conversation. Feature-wise, it covers roughly **60%** of what the full tool can do. Parallel execution works well — you can run multiple repositories simultaneously, which is useful for testing fixes or drafts across several client workstreams at once. There is no MCP integration, so you cannot connect it to your other business tools, and no local file access. - **Use it when** you are on a restricted device, working from a client site, or want to test the tool quickly without asking IT. - **Do not** use it as your primary interface. ### Start here ## Desktop — the right entry point for most teams The desktop app launched in November 2025. It takes roughly five minutes to install. Once it is open, a Code tab appears and you access everything through a chat-based GUI — no terminal required. This is the correct starting point for most professional services teams. - **Local file access** — Claude Code reads and writes the actual project folders on your machine. - **MCP integration** — connect it to the tools your firm already uses: project management platforms, document libraries, CRM systems. - **Visual project switching** — click tabs rather than type commands, and set environment variables through a dropdown rather than a config file. The trade-offs are real but manageable. It supports bash only, so developers on a different shell will need to adjust. Context compaction can become an issue on very long sessions. And it handles parallelism less well than the web or CLI versions. Feature completeness sits at around **75%**, which is sufficient for the majority of client-facing workflows a non-developer team will build. Use it when your team avoids the terminal, you need local file access, you switch between client projects frequently, or you are a Windows user who prefers a GUI. Start here and expand to other interfaces as the team's confidence and requirements grow. ### Where they live ## IDE — for developers who will not leave their editor If you have developers already working in VS Code, Cursor, or JetBrains, the IDE extension is the natural home for them. Setup takes around 15 minutes: install the extension, install the CLI, and configure the path. The payoff is deep integration — Claude Code knows which file you have open, shares context automatically, and surfaces suggested changes inline so you can accept, reject, or modify before anything is applied. You also get multiple conversation tabs for more control over parallel workstreams. Feature completeness is around **85%**. MCP integration is supported, though automation is somewhat limited compared to the CLI. The notable constraint is dependency: the extension version and CLI version must match, and when they do not, things break in ways that are not always obvious. On large codebases there is also a meaningful performance overhead. Use it when your developers already live in VS Code or JetBrains, visual diff review is a firm requirement, or you need the editor to automatically share error context with the tool. This is not the starting point for non-technical team members. ### Full control ## CLI — where the automation actually lives The CLI is the complete tool. It runs directly in the terminal, accesses the full 200k context window without truncation, and supports the full feature set including custom hooks, shell piping, and multi-agent orchestration. Setup takes around 10 minutes through the native installer, with no Node.js required. For a services firm thinking about scaling AI-assisted workflows, the CLI is where the automation lives. You can script a full proposal generation sequence that triggers from a single command, run multiple sub-agents in parallel across different workstreams, and chain operations by piping outputs between them. Repetitive processes — client onboarding documentation, assessment scoring, status report generation — become single-command workflows rather than manual assembly jobs. Feature completeness here is the full tool. The trade-off is the learning curve. Terminal-based tools are not accessible to non-technical staff, there is no GUI equivalent for the advanced features, permission prompts appear frequently for file operations, and sessions are not persistent. Use it when you are comfortable in the terminal, automation is the goal, and the workflow's complexity justifies the setup investment. This is where the Workflow and Agent layers get built: once your team has standardised a process, the CLI is the environment where it becomes a scripted, repeatable, multi-agent operation. ### The decision ## How to choose, and why most firms use more than one Match the interface to the person and the task: - **Team avoids terminal, needs local files** — desktop app. Start here by default. - **Restricted device or client site, no install possible** — web interface. Useful for accessibility, not production workflows. - **Developer already in VS Code or JetBrains** — IDE extension. Let them work where they are comfortable. - **Automation builder, power user, or technically-confident ops lead** — CLI. This is where the compounding happens. Most firms will end up using more than one. A Delivery Director might use the desktop app to manage project documentation while a technically-minded operations lead uses the CLI to build and maintain the automated workflows underneath. Neither is wrong. The interfaces are just access points. What Claude Code is actually doing, when it works well, is taking the manual assembly work out of delivery — discovery documentation, proposal drafts, status reports, research synthesis. Choosing and deploying the right interface is an **Activate** step: getting your team actually using the tool in daily work, not just having access to it. Many firms stop at access. The ones that compound move on to **Amplify** — capturing what works and spreading it across the team rather than leaving it with one person.