How to Use Claude Code: Complete Guide (2026)

Quick Summary: Claude Code is Anthropic’s AI-powered terminal and IDE coding assistant that helps developers build, debug, and ship code faster through natural language commands. It integrates directly into your terminal, VS Code, and other development environments, offering agentic search, multi-file editing, and GitHub workflow automation. Installation takes minutes via a simple curl command, and developers can customize behavior through CLAUDE.md files, slash commands, and agent skills.

Claude Code has transformed how developers interact with AI coding assistants. Rather than copying code snippets between chat windows and editors, Claude Code lives directly in your development environment—executing commands, editing files, and managing workflows through natural language.

The tool represents a fundamental shift from conversational AI to agentic AI that actually performs tasks. But getting started and understanding its capabilities requires more than just installation.

This guide covers everything from setup through advanced workflows, based on official documentation and real developer experiences.

What Is Claude Code

Claude Code is an agentic coding assistant that integrates directly into your terminal, IDE, and development workflow. Unlike traditional AI coding tools that generate suggestions, Claude Code can read your entire codebase, make multi-file edits, execute terminal commands, and manage git operations—all through conversational interaction.

The system uses agentic search to understand project structure and dependencies without manual context selection. This means Claude Code can navigate complex codebases and make informed decisions about where to make changes.

According to the official Anthropic website, Claude Code is priced at $30 per million input tokens and $150 per million output tokens. The tool connects with GitHub, GitLab, and command line tools to handle workflows from reading issues through submitting pull requests.

Key capabilities include:

• Multi-file editing across your codebase
• Terminal command execution with permission controls
• GitHub and GitLab integration for issue-to-PR workflows
• Agentic search that understands project dependencies
• Custom skills and slash commands for repeated tasks
• Memory through CLAUDE.md project configuration files

Installing Claude Code

Installation differs slightly depending on your operating system. The installation process typically takes 5-10 minutes depending on internet speed, according to community guides.

Installation on macOS and Linux

For macOS and Linux users, installation uses a single curl command. Open your terminal and run:

The script downloads Claude Code and its dependencies, typically requiring about 50MB for Claude Code itself. You’ll need a stable internet connection and Node.js installed on your system.

After installation completes, restart your terminal or run the provided command to reload your shell configuration. Then verify installation by typing claude in your terminal.

Installation on Windows

Windows requires Windows Subsystem for Linux 2 (WSL2) because Claude Code runs in a Linux environment. According to community guides, the setup involves multiple steps:

First, install WSL2 and Ubuntu from the Microsoft Store. This download is approximately 500MB. Then open Ubuntu and update the system with standard package manager commands.

Next, install Node.js within the WSL2 environment. Claude Code requires Node.js to function, and the Windows version won’t work—the Linux version running inside WSL2 is necessary.

Finally, run the installation command inside your Ubuntu terminal:

Total download size across all components for a fresh Windows installation typically ranges from under 1GB according to community guides.

VS Code Extension Installation

To install the official Claude Code extension, open the VS Code Extensions view (Ctrl+Shift+X or Cmd+Shift+X), search for “Claude Code” by Anthropic, and click Install. Alternatively, run code 

Getting Started With Basic Commands

After installation, Claude Code responds to natural language. But understanding its command structure helps developers work more efficiently.

Launch Claude Code by typing claude in your terminal. The interface presents a prompt where you can type requests.

Core Slash Commands

Slash commands provide quick access to common functions. These commands start with a forward slash and trigger specific behaviors.

Essential slash commands include:

Experienced developers report using /clear frequently—every time a new task begins. This prevents context contamination where previous conversations influence current work inappropriately.

The /compact command should be used at around 20-30% available context to maintain quality, according to experienced Claude Code users. Context quality degrades when the window fills up, making compression necessary for continued effectiveness.

Natural Language Interaction

Beyond slash commands, Claude Code responds to conversational requests. The more specific and detailed the prompt, the more likely it is to produce effective results.

Effective prompts include:

• What you want to accomplish
• Relevant constraints or requirements
• Specific technologies or patterns to use
• Files or components affected

Instead of “fix the bug,” try “there’s a null pointer exception in api/users.js when the database returns empty results. Add error handling that returns an empty array instead.”

For complex tasks, some developers report using “ultrathink” in prompts to encourage Claude Code to think through problems more deeply before implementation.

Understanding CLAUDE.md Configuration

The CLAUDE.md file serves as project memory—a persistent context file that Claude Code reads every time it works in your codebase. This file acts as an onboarding document for the AI.

Place CLAUDE.md in your project root or in a .claude directory. When Claude Code starts working, it reads this file first to understand project conventions, architecture decisions, and coding standards.

Essential CLAUDE.md Sections

According to best practices from experienced developers, effective CLAUDE.md files include specific sections:

• Project Overview: Brief description of what the project does, its primary purpose, and key technologies used. Keep this to 3-4 sentences maximum.
• Architecture: High-level structure explaining how components connect. Mention frameworks, design patterns, and key directories.
• Code Style: Specific formatting preferences, naming conventions, and patterns to follow. For example: “use functional components with hooks, not class components” or “all API calls go through the service layer.”
• Testing Approach: Testing framework, coverage expectations, and where tests live. Include commands for running tests.
• Common Commands: Frequently used npm scripts, build commands, or deployment procedures.
• Known Issues: Current bugs, technical debt, or areas to avoid modifying. Use TODO comments as markers.
• Dependencies: Critical libraries and their purposes, especially non-obvious ones.
• The file should be concise—most effective CLAUDE.md files range from 200 to 500 words. Claude Code uses this context for every interaction, so clarity matters more than comprehensiveness.

Skills and Custom Commands

Beyond CLAUDE.md, Claude Code supports custom skills defined in .claude/skills/ directories. Skills are specialized capabilities written in Markdown that extend Claude Code’s functions.

According to official documentation, Anthropic provides pre-built skills for common tasks like creating PowerPoint presentations, Excel spreadsheets, and PDF documents. Custom skills follow the same format for project-specific needs.

Slash commands can also be customized by adding Markdown files to .claude/commands/. These create shortcuts for repeated workflows specific to your project.

Working With Claude Code in Your IDE

The VS Code extension brings Claude Code’s capabilities into the editor interface. This integration works differently than the terminal version but provides the same core functionality.

Terminal vs IDE Experience

Cursor and Claude Code differ in fundamental design approaches. The terminal UI provides faster interaction for experienced users who work primarily in command-line environments. Commands execute quickly without switching contexts.

But the VS Code extension offers better visualization. Seeing proposed changes highlighted in your editor before accepting them provides clarity. The permission system also feels less intrusive in the GUI compared to constant terminal prompts.

Some developers combine both tools: Cursor for in-line code suggestions and Claude Code for project-level tasks.

Permission Management

Claude Code operates with a permission system that asks before executing terminal commands or modifying files. This prevents unintended actions but can interrupt flow.

Some developers report that the permission system can interrupt workflow, as every command requires approval. The solution involves learning which operations are safe to approve automatically versus those requiring scrutiny. File edits in your project directory are typically low-risk. System commands or operations outside your project deserve closer inspection.

Some developers configure permissions at the project level to reduce interruptions for trusted operations.

Get Access to Startup Credits for Tools Used With Claude Code

Once Claude Code moves from curiosity to actual use, the surrounding costs become more visible. Get AI Perks gives access to a curated list of startup offers across AI tools, cloud services, and software products that may support development, testing, and deployment work.

With Get AI Perks, you can:

• Find credits for tools connected to coding workflows
• Review offer details before spending time on applications
• Identify useful discounts for early-stage teams
• Keep experimentation costs more manageable

Look through the Get AI Perks library before building out the rest of your Claude Code workflow.

Advanced Workflows and Best Practices

Real effectiveness with Claude Code comes from developing systematic workflows. Experienced users share patterns that maximize the tool’s capabilities.

The Two-Claude Method

Some developers use a two-instance pattern: running one Claude in the desktop app for planning and another in the terminal for implementation.

The first Claude—typically in the desktop app—acts as the thinker. This instance receives complex problems, architectural questions, and design decisions. It generates plans, considers alternatives, and thinks through implications without touching code.

The second Claude—in the terminal or VS Code—serves as the executor. It receives specific instructions from the first Claude (or the developer) and implements them. This separation prevents the same context from mixing planning with implementation.

The workflow looks like: describe problem to Claude 1, get approach recommendations, pass specific implementation instructions to Claude 2, verify results, iterate.

Context Management Strategy

Context window management separates proficient Claude Code users from beginners. Here’s what works:

Use /clear aggressively. Start every distinct task with a fresh conversation. The cost of losing context is less than the cost of polluted context.

Run /compact when available context drops to 20-30%. Experienced users suggest this threshold maintains quality while extending conversation length.

Shift to plan mode before implementation for complex features. This makes Claude Code think through the approach before writing code, reducing rewrites.

Use comments and TODO markers strategically. Claude Code searches for these when understanding what needs work. Marking bugs or refactoring opportunities helps Claude Code prioritize.

Model Selection

Claude Code defaults to Opus for initial requests. Opus provides higher capability but costs more tokens, while Sonnet runs faster and cheaper with some capability reduction.

The default behavior switches from Opus to Sonnet at 50% usage to balance cost and quality.

But for critical implementations, explicitly requesting Opus ensures maximum capability. Save Opus for architecture decisions, complex algorithms, or unfamiliar code. Use Sonnet for routine tasks, refactoring, and straightforward implementations.

GitHub Integration Workflow

The GitHub integration turns issues directly into pull requests. This workflow eliminates tool-switching for common development cycles.

The process works like this: Claude Code reads a GitHub issue, understands requirements, makes necessary code changes across multiple files, runs tests to verify functionality, commits changes with meaningful messages, and creates a pull request with the issue linked.

The system integrates with GitHub, GitLab, and command line tools for workflow automation. For teams, this creates a smooth flow: triage issues, assign to Claude Code, review generated PRs, merge or request modifications. The AI handles implementation details while humans focus on design and code review.

Common Pitfalls and Solutions

Even experienced developers encounter recurring challenges with Claude Code. Recognizing these patterns helps avoid frustration.

The Permission Fatigue Problem

Constant permission prompts interrupt flow and reduce productivity. This represents the most common complaint in community discussions.

The solution involves two approaches. First, configure project-level permissions for common operations. Second, batch operations—ask Claude Code to prepare all changes, review them together, then approve execution as a group rather than individually.

Some developers also maintain a separate test project where they grant broader permissions for experimentation without risk.

Context Pollution

When conversations run too long without clearing, context quality degrades. Claude Code starts making assumptions based on outdated information from earlier in the conversation.

Symptoms include: suggesting solutions from previous tasks that don’t apply to the current one, making edits in wrong files, or ignoring recent instructions.

The fix is simple but requires discipline: clear context between tasks. If Claude Code seems confused or makes unexpected suggestions, that signals time for /clear.

Over-Reliance on AI Generation

Some developers report letting Claude Code do too much without understanding the generated code. This creates maintenance problems later when AI-generated code breaks or needs modification.

The solution involves treating Claude Code as a pair programmer rather than a code generator. Review everything it produces. Ask questions about approaches you don’t understand. Have Claude Code explain complex sections before accepting them.

This educational aspect represents a key benefit—Claude Code doesn’t just write code, it teaches developers by explaining decisions and trade-offs.

Pricing and Economics

Understanding Claude Code’s pricing model helps teams budget effectively and use the tool strategically.

According to the official Anthropic website, Claude Opus 4.6, used by Claude Code, is priced at $5 per million input tokens and $25 per million output tokens.

In practice, this pricing structure favors careful prompt engineering. Concise, specific requests cost less than vague prompts that require multiple iterations.

The automatic model switching from Opus to Sonnet at 50% usage helps control costs while maintaining quality for most tasks. Teams can adjust this threshold based on their quality requirements and budget constraints.

Developers sharing their experiences report that thoughtful usage—clearing context regularly, using appropriate models for different tasks, and batching related operations—keeps costs reasonable even for heavy use.

Claude Code vs Other AI Coding Tools

Claude Code competes with several established tools in the AI coding space. Understanding distinctions helps developers choose the right tool.

Comparison With Cursor

Cursor has been popular in the developer community for over a year. Cursor and Claude Code differ in fundamental design approaches.

Cursor focuses primarily on code completion and editing within the IDE. It excels at suggesting the next line or function as you type.

Claude Code takes a more agentic approach—handling complete workflows rather than just writing code. The GitHub integration, terminal command execution, and multi-file editing represent capabilities beyond Cursor’s scope.

Some developers combine both tools: Cursor for in-line code suggestions and Claude Code for project-level tasks.

Strengths of Claude Code

Claude Code uses agentic search to understand project structure and dependencies, enabling effective work on large codebases without manual context selection.

Multi-file editing enables coordinated changes across components. Tasks that require coordinated changes across components, updating imports, and maintaining consistency become simple conversations rather than manual coordination efforts.

Claude Code integrates with GitHub issues and pull requests for streamlined workflows. Working directly with GitHub issues and pull requests eliminates context switching.

Real-World Use Cases

Specific scenarios show where Claude Code provides the most value.

Refactoring Legacy Code

Claude Code excels at understanding existing code and making systematic improvements. Describe the refactoring goal—extract a service layer, convert class components to functional components, update deprecated API calls—and Claude Code handles the mechanical changes across all affected files.

The agentic search finds all instances that need updating. The multi-file editing makes changes consistently. Tests verify nothing broke.

Feature Implementation From Issues

The GitHub integration shines here. Point Claude Code at an issue, and it reads requirements, makes necessary changes, creates tests, and submits a pull request.

Developers review the generated PR. If changes need adjustments, conversationally request modifications through Claude Code rather than manually editing.

Learning New Codebases

Claude Code serves as an interactive documentation system. Ask questions about how components connect, where specific logic lives, or why certain patterns are used.

The explanations help new team members understand codebases faster than reading static documentation. Claude Code can also demonstrate patterns by showing examples from the existing code.

Test Generation

Writing comprehensive tests takes time. Claude Code can generate test suites based on existing code to cover various scenarios and edge cases.

Developers review generated tests to ensure coverage and modify as needed. This dramatically reduces the time from writing code to having tested code.

Tips From Power Users

Developers who use Claude Code extensively share patterns that maximize effectiveness.

1. Use Plan Mode Before Implementation: Press Shift+Tab to enter plan mode for complex features. This makes Claude Code think through the approach before writing code, reducing rewrites.
2. Mark Work With Comments: Use TODO, FIXME, or BUG comments to mark areas needing attention. Claude Code searches for these markers when understanding what needs work.
3. Leverage the Learning Opportunity: Ask Claude Code to explain its decisions. Understanding why it chose certain approaches makes developers better at prompt engineering and general coding.
4. Maintain a CLAUDE.md File: Keep project context updated as architecture evolves. Ten minutes maintaining this file saves hours of providing context in conversations.
5. Use Exclamation Points for Persistence: When Claude Code doesn’t follow instructions, developers report that adding exclamation points (“implement this exactly as described!”) increases compliance.
6. Queue Multiple Tasks: Claude Code can handle queued operations. Describe several related changes, let them queue, and review all results together rather than waiting between tasks.

Frequently Asked Questions

The Future of AI-Assisted Development

Claude Code represents a shift from code completion to agentic task execution. Rather than suggesting the next line, it handles complete workflows from requirements through pull requests.

This evolution changes the developer role from writing every line to directing AI execution and reviewing results. The skills that matter most become architecture design, requirement specification, code review, and system thinking rather than syntax memorization.

But human expertise remains critical. Claude Code excels at mechanical tasks—refactoring, test generation, boilerplate code—while humans handle creative problem-solving, security considerations, and architectural decisions.

The most effective approach combines both: use Claude Code for what AI does well, maintain human oversight for what requires judgment and experience.

Conclusion

Claude Code transforms how developers interact with AI coding assistants by moving from conversational suggestions to agentic task execution. The tool handles complete workflows—from reading GitHub issues through creating pull requests—through natural language interaction.

Getting started requires just minutes for installation, but mastering the tool involves understanding context management, prompt engineering, and when to use AI versus manual coding. The CLAUDE.md configuration file provides persistent project context that makes every interaction more effective.

The economics make sense for teams that use it strategically—applying AI to mechanical tasks while reserving human expertise for architecture and critical logic. The permission system and review process maintain safety while the agentic capabilities eliminate much of the tedious work in software development.

Ready to try Claude Code? Visit the official Anthropic website to get started with installation, explore the documentation for advanced features, and join the community discussions to learn from experienced users. The tool is actively evolving, so staying connected with updates ensures access to the latest capabilities.