Claude Code Review

Claude Code installs as a global npm package. Requirements: Node.js 18 or higher. Installation: run npm install -g @anthropic-ai/claude-code in your terminal. Once installed, run claude in any project directory to start a session. Claude Code will read the project structure and be ready for instructions. Authentication is handled via your Claude.ai account — you'll be prompted to log in on first use. Total setup time is typically under 5 minutes including Node.js installation if needed.

Use Cursor if: you want the best overall AI coding experience including Tab autocomplete, you use VS Code and don't need to switch editors, and you work with daily pair-programming style AI assistance where autocomplete frequency matters. Use Claude Code if: you're a JetBrains, Neovim, or other non-VS-Code user who can't switch editors, you need the most capable autonomous agent for complex multi-step tasks, you already pay for Claude Pro and want coding capabilities at no additional cost, or you work on projects requiring MCP integration with external systems. Many professional developers use both: Cursor for the editor experience and daily coding, Claude Code for autonomous heavy-lifting tasks. They're complementary rather than direct replacements.

Yes, with appropriate care. Claude Code asks for explicit permission before running destructive commands — file deletions, database operations, deployment scripts, or any command with irreversible effects. It shows you the exact command it intends to run before executing. Practical safety measures: run Claude Code in a branch, not directly on main; use .gitignore-style configuration to exclude files Claude Code shouldn't touch; review diffs before merging. Claude Code transmits code to Anthropic's API for processing — if you're working on highly sensitive proprietary code, review Anthropic's data handling policies and consider the Enterprise plan which includes enhanced data privacy agreements. As with any AI coding tool, treat Claude Code as a capable collaborator that needs review, not an autonomous deployment system.

Extended Thinking is a Claude 3.7 feature that allows the model to reason through a problem step by step before producing an output — similar to how a senior engineer thinks through an architectural decision before writing code. For simple coding tasks (fixing a bug, writing a function), standard generation is faster and sufficient. For complex tasks — designing a refactoring strategy for a 50,000-line codebase, architecting a new service that needs to integrate with 8 existing systems, planning a database migration with zero downtime — Extended Thinking produces qualitatively better plans before implementation begins. The difference is not just code quality but decision quality: what to build, how to structure it, what edge cases to handle, and what order to make changes in. Claude Code activates Extended Thinking automatically for tasks above a complexity threshold.

Yes — this is one of Claude Code's most important advantages. Because Claude Code is a CLI tool that runs in your terminal, it works alongside JetBrains IDEs (IntelliJ IDEA, PyCharm, WebStorm, DataGrip, GoLand, Rider, and others) without any plugin required. Run the terminal inside your JetBrains IDE using its built-in terminal panel, start a claude session, and Claude Code has full access to your project while you continue using your JetBrains tools. The experience is not as deeply integrated as an IDE plugin would be — you're switching attention between the terminal and the editor rather than having AI suggestions appear inline — but you get the full power of Claude Code's autonomous agent capabilities without abandoning JetBrains. For JetBrains users, Claude Code is the strongest AI coding agent available.

MCP (Model Context Protocol) is an open standard developed by Anthropic that allows AI tools to connect to external data sources and services through a standardized interface. For Claude Code, MCP means the agent can access context beyond your local codebase: query your PostgreSQL database to understand the real schema it's working with, read Jira tickets to understand the requirements for the code it's writing, search your Confluence documentation for internal APIs, pull recent Slack conversations about a feature, or connect to any custom data source your organization maintains. An MCP server is a small adapter that implements the protocol for a specific data source — the community has built servers for GitHub, databases, Google Drive, Slack, and dozens of other systems. Cursor and GitHub Copilot do not support MCP, making Claude Code uniquely extensible for teams with complex internal systems.