How to Use Claude Code in Cursor: The Complete Workflow Guide

Claude Code and Cursor are complementary, not competing. Run Claude Code in Cursor's terminal for autonomous multi-file tasks while using Cursor for inline completions and quick edits. Setup, workflow patterns, and configuration.

March 12, 2026 · 2 min read

Why Use Both Claude Code and Cursor

Cursor and Claude Code occupy different niches in the AI coding stack. Cursor is an IDE with AI woven into the editing surface: tab completions that predict your next line, inline chat for quick questions, and an agent that can make targeted changes within the editor. Claude Code is a terminal agent that plans multi-step operations, executes them autonomously, and verifies the results.

The distinction maps to two modes of programming. Sometimes you're writing code interactively, line by line, and you want an AI that completes your thoughts in real time. That's Cursor. Other times you need to describe a task ("refactor all API routes to use the new auth middleware") and let an agent handle it. That's Claude Code.

80%
Interactive Editing (Cursor)
20%
Autonomous Tasks (Claude Code)
5 min
Setup Time

The Core Insight

Claude Code and Cursor aren't competitors. They're complementary tools that cover different parts of the development workflow. Running Claude Code inside Cursor's terminal gives you both capabilities in one window.

Cognition (the team behind Devin) measured that coding agents spend roughly 60% of their time on search and context gathering. By pairing Claude Code's autonomous execution with Cursor's interactive editing, you keep the agent focused on what it does best while staying in control of the code through the editor.

Setup Guide

Step 1: Install Claude Code CLI

Claude Code is a Node.js CLI. Install it globally so it's available in every terminal, including Cursor's.

Install Claude Code

npm install -g @anthropic-ai/claude-code

# Verify installation
claude --version

Step 2: Run Claude Code in Cursor's Terminal

Open Cursor, open the integrated terminal (Cmd+` on Mac, Ctrl+` on Windows/Linux), and type claude. Claude Code launches in your project directory with full access to the filesystem, git, and any tools you've configured.

Launch in Cursor's Terminal

# In Cursor's integrated terminal
cd /your/project
claude

# Or start with a specific task
claude "refactor the auth middleware to use JWT tokens"

Step 3: Install the Claude Code Extension (Optional)

For tighter integration, install the Claude Code VS Code extension in Cursor. This renders Claude Code's diffs directly in the editor instead of the terminal, giving you visual review of every change.

Install Extension via CLI

# The VSIX file ships with Claude Code
cursor --install-extension \
  ~/.claude/local/node_modules/@anthropic-ai/claude-code/vendor/claude-code.vsix

Alternatively, open Cursor's command palette (Cmd+Shift+P), search for "Extensions: Install from VSIX", and navigate to the claude-code.vsix file at the path above.

Extension vs Terminal

The extension is optional. Many developers prefer running Claude Code purely in the terminal. The extension adds visual diff rendering and click-to-accept for individual changes. Try both approaches and see which fits your workflow.

Workflow Patterns

Pattern 1: Side-by-Side Editing

The most common pattern. Cursor's editor occupies the main panel. Claude Code runs in the bottom terminal. You write code in the editor with Cursor's tab completions, then switch to the terminal for bigger tasks.

When Claude Code modifies files, Cursor's file watcher detects the changes instantly. You see the updated files in the editor, review the diff with git diff or Cursor's built-in diff view, and continue editing.

Pattern 2: Prototype in Cursor, Polish with Claude Code

Write the initial implementation interactively in Cursor. Once the rough version works, hand it to Claude Code for polish: "add error handling to all API routes", "write tests for the auth module", "update all imports to use the new path aliases". Commit the working state first so you can roll back if needed.

Prototype-Then-Polish Workflow

# 1. Write rough implementation in Cursor's editor
# 2. Commit the working state
git add -A && git commit -m "rough auth implementation"

# 3. Hand off to Claude Code for polish
claude "add comprehensive error handling and input validation
to all routes in src/api/. Follow the error handling pattern
in src/api/users.ts as a reference."

Pattern 3: Claude Code for Multi-File, Cursor for Single-File

Use Cursor when the change is localized: fixing a bug in one file, adding a new component, tweaking a style. Use Claude Code when the change spans many files: renaming a type across the codebase, migrating from one library to another, updating every test to use a new assertion style.

Pattern 4: Delegating via MCP

With Claude Code running as an MCP server, Cursor's agent can delegate complex tasks to it. You prompt Cursor's agent with "Use Claude Code to refactor this module," and Cursor hands the task off to Claude Code via MCP. The results flow back to Cursor for review.

Interactive Editing (Cursor)

Tab completions, inline chat, single-file fixes, code exploration, quick refactors. Use when you're actively writing code and thinking line by line.

Autonomous Tasks (Claude Code)

Multi-file refactors, test generation, migration scripts, git operations, CI/CD debugging. Use when you can describe the task and let the agent execute.

When to Use Which

TaskBest ToolWhy
Writing a new functionCursorTab completions predict your intent line by line
Multi-file refactorClaude CodePlans the change, updates all files, verifies with tests
Fixing a type errorCursorInline diagnostic + quick fix in the editor
Generating test suitesClaude CodeReads implementation, writes tests, runs them to verify
Exploring unfamiliar codeCursorGo-to-definition, hover docs, inline explanations
Database migrationsClaude CodeGenerates migration SQL, updates schema, modifies ORM types
Tweaking CSS/stylesCursorVisual feedback loop with hot reload
Updating 50 files for a new APIClaude CodeAutonomous execution across the entire codebase
Writing a commit messageClaude CodeReads the diff, writes a descriptive message, commits
Code review prepCursorSide-by-side diff view, inline comments
CI/CD pipeline debuggingClaude CodeReads logs, identifies failures, proposes fixes
Quick inline docsCursorHighlight function, ask for docs in inline chat

Sharing Context Between Tools

Both Claude Code and Cursor read project-level configuration files. This is the key to a seamless workflow: define your conventions once, and both tools follow them.

CLAUDE.md

Claude Code reads CLAUDE.md at the project root on every session start. It contains build commands, architecture notes, coding conventions, and any instructions you want Claude Code to follow. This file is the single most impactful thing you can do to improve Claude Code's output quality.

Example CLAUDE.md

# CLAUDE.md

## Commands
bun install          # Install dependencies
bun run dev          # Start dev server on port 3000
bun run build        # Production build
bun run test         # Run tests

## Architecture
- Next.js 15 App Router, React 19, TypeScript
- Drizzle ORM with PostgreSQL
- Tailwind CSS for styling

## Conventions
- Server components by default
- Use server actions for mutations
- All database access through Drizzle
- Run `bun run typecheck:fast` before committing

.cursorrules

Cursor reads .cursorrules from the project root. It defines coding style, framework preferences, and patterns for Cursor's AI to follow during inline completions and agent tasks.

Example .cursorrules

You are an expert in TypeScript, Next.js 15, React 19, and Tailwind CSS.

Key conventions:
- Use functional components with TypeScript interfaces
- Prefer server components; use "use client" only when needed
- Use Drizzle ORM for all database queries
- Follow existing code patterns in the codebase

AGENTS.md (Shared Standard)

If you use multiple AI tools, put shared instructions in AGENTS.md. Both Claude Code and Cursor can reference it. Keep tool-specific config in CLAUDE.md and .cursorrules. This avoids duplication while letting each tool get instructions in its preferred format.

Configuration Strategy

  • AGENTS.md: Universal conventions (naming, architecture, testing patterns). Both tools read this.
  • CLAUDE.md: Claude Code-specific instructions (build commands, verification steps, autonomous behaviors).
  • .cursorrules: Cursor-specific instructions (completion style, inline chat behavior, framework expertise).

MCP Servers in Both Tools

MCP (Model Context Protocol) servers provide external context to AI tools. The same MCP server can serve both Claude Code and Cursor, giving both tools access to your database, APIs, documentation, or codebase search.

Shared MCP Configuration

Configure MCP servers in your project's .mcp.json for Claude Code, and in ~/.cursor/mcp.json for Cursor. Point both to the same server instances.

MCP Configuration for Claude Code (.mcp.json)

{
  "mcpServers": {
    "warpgrep": {
      "command": "npx",
      "args": ["-y", "warpgrep-mcp@latest"],
      "env": {
        "WARPGREP_API_KEY": "your-api-key"
      }
    }
  }
}

WarpGrep: Semantic Search for Both Tools

WarpGrep indexes your codebase and provides semantic search via MCP. When Claude Code needs to understand how authentication works across your app, it queries WarpGrep instead of scanning every file. When Cursor's agent needs context for a suggestion, it queries the same index.

This is especially powerful for large codebases. Without semantic search, both tools waste context window tokens on irrelevant files. With WarpGrep, they find exactly the right code on the first try, leaving more context for actual reasoning.

Claude Code + WarpGrep

Claude Code uses WarpGrep for autonomous planning. Before refactoring a module, it searches for all usages, dependencies, and related tests. Finds relevant code in sub-second latency instead of scanning thousands of files.

Cursor + WarpGrep

Cursor's agent uses WarpGrep for contextual suggestions. When you're editing a function, it pulls in related implementations, test patterns, and usage examples. Better context means better completions.

Performance Tips

Fast Apply for Code Merging

When Claude Code generates multi-file changes, those edits need to be merged into your files. Morph Fast Apply handles this at 10,500+ tokens per second. The difference is noticeable on large refactors: a 20-file change that takes seconds with standard diff resolution completes almost instantly with Fast Apply.

Keep Claude Code Focused

Don't use Claude Code for tasks Cursor handles better. Quick fixes, single-line changes, and exploratory edits are faster in the editor. Reserve Claude Code for tasks that benefit from autonomous planning: anything touching 3+ files, anything requiring verification (running tests, type-checking), and anything you'd otherwise do manually across many files.

Commit Before Delegating

Before handing a task to Claude Code, commit your current work. This gives you a clean rollback point if the agent's changes don't work out. It also gives Claude Code a clear baseline to work from.

Use Headless Mode for Background Tasks

Claude Code supports headless mode (claude -p "task") for non-interactive execution. Run long tasks in a background terminal tab in Cursor while you continue editing in the main panel. Check the results when it finishes.

Background Task in Separate Terminal Tab

# Terminal Tab 1: Continue editing in Cursor
# Terminal Tab 2: Run Claude Code headlessly
claude -p "write unit tests for all exported functions in src/lib/"
10,500+
Tokens/sec Fast Apply
<6s
Avg Agent Turn Latency
8
Parallel MCP Tool Calls

Frequently Asked Questions

Can I run Claude Code inside Cursor?

Yes. Open Cursor's integrated terminal and type claude. Claude Code runs in the terminal with full access to your project. You can also install the Claude Code VS Code extension in Cursor for visual diff rendering. The extension VSIX file is at ~/.claude/local/node_modules/@anthropic-ai/claude-code/vendor/claude-code.vsix.

Do I need to choose between Claude Code and Cursor?

No. They're complementary. Cursor gives you real-time inline completions, tab suggestions, and an editor-integrated agent. Claude Code gives you autonomous multi-file execution, test generation, and git operations. Using both is more productive than using either alone.

How do I share project conventions between both tools?

Put shared conventions in AGENTS.md at the project root. Add Claude Code-specific instructions (build commands, verification steps) to CLAUDE.md. Add Cursor-specific instructions (completion style, framework hints) to .cursorrules. Both tools read their respective config files on startup.

Will Claude Code's changes conflict with Cursor's suggestions?

No. Claude Code writes directly to the filesystem. Cursor's file watcher detects the changes and updates the editor view. You see the new state immediately. If Claude Code modifies a file you're editing, Cursor shows the incoming change. There's no merge conflict because only one tool writes at a time.

Can Cursor's agent delegate tasks to Claude Code?

Yes, via MCP. Run Claude Code as an MCP server and configure Cursor to use it. Then Cursor's agent can delegate complex tasks to Claude Code. The results flow back to Cursor for review. This is useful for tasks that exceed Cursor's agent capabilities, like large refactors or codebase-wide changes.

Related Guides

Semantic Search for Claude Code and Cursor

WarpGrep's MCP server indexes your codebase and works with both Claude Code and Cursor. One semantic search layer for all your AI coding tools. Find code by meaning, not just keywords.