Claude Code Official Docs Walkthrough (2026)

Last updated: April 17, 2026

Claude Code’s official documentation serves as the definitive resource for developers looking to master this powerful AI coding assistant. This walkthrough breaks down the documentation structure, highlights key sections, and provides practical examples to help you get the most out of Claude Code.

Getting Started with Claude Code

The official documentation begins with a clear getting started guide that walks you through the installation and initial setup process. Whether you’re using macOS, Linux, or Windows, the documentation provides platform-specific instructions that make setup straightforward.

Installation is handled through npm:

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

To verify your installation, open your terminal and run:

claude --version

This command confirms that Claude Code is properly installed and displays the current version. The documentation recommends always keeping your installation updated to access the latest features and security improvements.

On macOS, if you run into permission errors during installation, the documentation covers the recommended fix: configure npm to use a local prefix rather than writing to system directories. This avoids the need for sudo and keeps your global package environment clean.

Authentication

Before you can use Claude Code, you need to authenticate with your Anthropic account. The documentation explains two methods: browser-based OAuth and API key authentication. For most developers, the browser flow is the faster path:

claude auth login

This opens a browser window, prompts you to sign in, and stores credentials securely in your system keychain. For CI environments or headless servers where browser auth is not possible, the documentation explains how to set the ANTHROPIC_API_KEY environment variable instead.

Initial Configuration

After installation, you’ll want to configure Claude Code to match your workflow preferences. The documentation outlines several configuration options that can be set through the CLAUDE_CONFIG environment variable or by editing the configuration file directly.

Key configuration options include:

Model selection: Choose which Claude model to use for different tasks
Temperature settings: Adjust the creativity level of responses
Max tokens: Set response length limits
System prompts: Customize default behavior

The documentation also notes that configuration has a clear precedence order: command-line flags override environment variables, which override project-level config files, which override user-level defaults. Understanding this hierarchy saves time when debugging unexpected behavior.

Core Concepts Explained

The documentation does an excellent job explaining Claude Code’s core concepts. Understanding these fundamentals is essential for becoming productive quickly.

Conversations and Sessions

Claude Code organizes work into sessions. Each session maintains context across interactions. Simply start a new session for a fresh topic, or continue an existing one by launching Claude from the same directory. The documentation shows how to manage sessions effectively.

The session model is worth understanding in depth. When you launch Claude Code from a project directory, it reads any CLAUDE.md file present and loads it as context. This means it already knows your project’s conventions, architecture, and preferences before you type your first message. The documentation walks through how to write effective CLAUDE.md files. what to include, what to leave out, and how to structure them for maximum usefulness.

Sessions do not persist indefinitely. The documentation explains the context window limits and how to handle long-running tasks that might exceed them. The recommended approach is to periodically summarize progress in your CLAUDE.md or in a separate notes file so you can resume a task in a new session without losing important context.

The CLAUDE.md File

The CLAUDE.md file is one of the most impactful things you can add to a project, and the official documentation dedicates a full section to it. This file is loaded automatically at the start of every session in that directory, giving Claude Code project-specific context that improves the quality of every interaction.

A well-structured CLAUDE.md typically covers:

Project purpose and architecture overview
Key technologies and their versions
Coding conventions and style decisions
Common commands (how to run tests, start the dev server, build for production)
Off-limits files or directories
Known quirks or gotchas in the codebase

Here is a minimal but effective example:

Project Context
This is a TypeScript monorepo using pnpm workspaces. The main app
is in packages/web, the API in packages/api.
Conventions
- Use named exports (not default exports)
- Error handling: always use the Result type from src/types/result.ts
- Tests live alongside source files as *.test.ts
Key Commands
- pnpm dev. start all services
- pnpm test. run full test suite
- pnpm build. production build
Do Not Touch
- packages/legacy. archived code, do not modify

With this file in place, Claude Code’s suggestions will align with your conventions from the first message, without you having to re-explain them every session.

Skills System

One of Claude Code’s most powerful features is its skills system. Skills are markdown files that provide Claude with specialized knowledge for particular tasks. The documentation details how to create, organize, and use skills effectively.

To use a skill, simply type its slash command in your conversation:

/skill-name

The official documentation provides several built-in skills and explains how to create custom ones tailored to your needs.

Custom skills live in a .claude/skills/ directory. Each skill is a markdown file with a clear structure: a description of what the skill does, any required context, and the instructions that guide Claude’s behavior when the skill is active. The documentation shows how to build skills that encode your team’s deployment process, code review checklist, or architectural decision guidelines.

The skills system transforms Claude Code from a generic assistant into a tool that knows your specific workflows. A team that invests an hour writing three or four custom skills will find that the quality of Claude Code’s assistance improves dramatically for their most common tasks.

Project-Based Workflows

The documentation emphasizes project-based workflows as the recommended approach for using Claude Code. This section covers how to initialize projects, maintain context, and manage file changes effectively.

Initializing a Project

For new projects, the documentation recommends creating a CLAUDE.md file in your project root to set project-specific context. Then simply run:

cd your-project
claude

Once in the interactive session, describe your project to Claude so it can provide relevant assistance, including:

Project name and description
Default programming languages
Preferred tools and frameworks
Custom instructions for the project

The documentation also recommends running claude from the project root rather than from subdirectories, since this gives Claude Code the widest possible view of your codebase. When you are working in a monorepo, this is especially important: Claude Code needs to see both the package it is working on and the packages it depends on.

File Operations

Claude Code can read, edit, and create files throughout your project. The documentation provides clear examples of each operation:

Reading files:

Read the contents of src/main.py

Editing files:

Edit the handle_request function to add error handling

Creating new files:

Create a new file called tests/test_main.py with unit tests

The documentation is explicit about how file operations work under the hood: Claude Code uses its built-in tools to read file contents into its context, make edits, and write them back. Critically, it shows you exactly what it is about to write before it writes it. You always have the opportunity to review and reject a change before it is applied to disk.

For large files that might exceed context limits, the documentation explains how to ask Claude Code to work with a specific section rather than the entire file, and how to use the offset and limit parameters when reading very long files.

Searching Across the Codebase

One of the most useful but underutilized features covered in the documentation is codebase search. Claude Code can search for patterns, function definitions, and text across your entire project:

Find all places where the database connection is opened without
being closed in a finally block.

This type of query combines semantic understanding with literal search in a way that grep cannot replicate. Claude Code understands what “database connection opened without being closed” means conceptually and can recognize the pattern across different connection libraries and coding styles.

The documentation covers the underlying search tools and how to use them both directly and through natural language prompts.

Advanced Features

Beyond the basics, the documentation covers advanced features that unlock Claude Code’s full potential.

Command Execution

You can execute shell commands directly through Claude Code. The documentation provides security guidelines and best practices for command execution:

Always review commands before execution
Use sandboxed environments for risky operations
Set up aliases for frequently used commands

The documentation explains that Claude Code will ask for confirmation before running commands that modify files or make network requests, but will run read-only commands like ls, git log, and cat without prompting. You can adjust this behavior in your configuration if you prefer more or less friction.

For complex operations like running migrations, deploying to staging, or executing test suites, the documentation recommends defining these as named operations in your CLAUDE.md so Claude Code understands exactly what they do and when they are safe to run.

Multi-Agent Collaboration

For complex projects, Claude Code supports multi-agent workflows where multiple AI assistants collaborate. The documentation explains how to:

Spawn additional agents for parallel tasks
Share context between agents
Manage agent handoffs smoothly

The multi-agent section is one of the most technically detailed parts of the documentation. It explains that subagents are full Claude Code instances with their own tool access, and that the orchestrating agent can give them scoped permissions. for example, a subagent that can only read files but not write them, or one that can only access a specific directory.

This pattern is particularly powerful for large refactoring efforts, where one agent plans the work and multiple subagents execute changes in parallel across different parts of the codebase.

Configuration Detailed look

The configuration section provides comprehensive details about customizing Claude Code’s behavior.

Environment Variables

Key environment variables include:

Variable	Description	Default
CLAUDE_MODEL	Model to use	claude-3-opus
CLAUDE_MAX_TOKENS	Max response tokens	4096
CLAUDE_TEMPERATURE	Creativity level	0.7

The documentation notes that CLAUDE_MODEL is particularly important to understand. Different models have different strengths, context window sizes, and cost profiles. For routine coding tasks, a faster, cheaper model is entirely sufficient. For complex architectural decisions or large codebase analysis, a more capable model is worth the additional cost. The documentation includes a model comparison table with guidance on which tasks each model handles best.

Project-Specific Settings

Create a .claude.json file in your project root to define project-specific settings:

{
 "project": {
 "name": "my-project",
 "languages": ["python", "javascript"]
 },
 "preferences": {
 "autoReview": true,
 "confirmCommands": false
 }
}

The documentation also covers the settings.json file at the user level (~/.claude/settings.json), which is useful for preferences that should apply across all projects. your preferred editor, default model, and global tool permissions, for example. Understanding the interplay between user-level and project-level settings helps you set up defaults that work broadly while still allowing per-project overrides.

Hooks

One of the more advanced configuration topics in the documentation is hooks. Hooks are scripts that run at defined points in Claude Code’s lifecycle: before a session starts, after a file is edited, before a command is executed, and so on.

The documentation provides examples of useful hooks:

A pre-edit hook that runs your linter on files before Claude Code modifies them, catching any pre-existing issues
A post-edit hook that automatically stages changed files in git
A pre-command hook that prompts for confirmation on destructive operations, even if auto-approval is otherwise enabled

Hooks are defined in settings.json and can call any executable on your system. This makes them a powerful extension point for integrating Claude Code into existing CI/CD workflows.

Troubleshooting and Support

The documentation includes a comprehensive troubleshooting section that addresses common issues:

Installation problems
Authentication errors
Performance optimization
API rate limiting

For issues not covered in the documentation, the support section provides links to community forums and official support channels.

Diagnosing Context Problems

One category of issue the documentation covers in depth is context-related problems: Claude Code giving advice that seems to ignore what you told it earlier, or making changes that contradict the conventions in your CLAUDE.md. The troubleshooting section explains how to diagnose whether the issue is a context window overflow, a CLAUDE.md that is too vague, or a session that has simply drifted.

The recommended diagnostic step is to ask Claude Code directly: “What do you know about this project’s conventions?” Its answer reveals exactly what context it currently holds, making it easy to identify gaps.

Handling Rate Limits

For developers doing intensive work with Claude Code, rate limiting can become a constraint. The documentation explains the rate limit structure, how to monitor your current usage, and strategies for staying within limits without disrupting your workflow. The primary recommendation is to batch related changes into fewer, larger requests rather than many small ones. this reduces the number of API calls while often producing better results, since Claude Code has more context to work with in a single request.

Best Practices

Based on the official documentation, here are key best practices for using Claude Code effectively:

Maintain clear conversation boundaries: Start new conversations for unrelated tasks
Use descriptive prompts: The more context you provide, the better results you’ll get
Review before executing: Always check suggested commands and code changes
Use skills: Create custom skills for your common workflows
Keep documentation handy: Refer back to official docs when trying new features

Prompt Quality Makes a Large Difference

The documentation includes a section on prompt engineering for coding tasks that is worth reading carefully. The core insight is that specificity matters more than length. A short, specific prompt produces better results than a long, vague one.

Compare these two approaches:

Vague: “Improve this function.”

Specific: “Refactor this function to handle the case where userId is null by returning an empty array early, rather than throwing. Keep the existing error logging for other error types.”

The second prompt is only slightly longer, but it eliminates ambiguity about what “improve” means, what the expected behavior change is, and what should remain unchanged. The documentation encourages developers to think of prompts as specifications: the clearer the spec, the more predictable and useful the output.

Version Control Integration

The documentation’s section on git integration is practical and actionable. Claude Code does not manage git operations by default, but it integrates cleanly with existing git workflows. The recommended practice is to commit frequently and with descriptive messages before asking Claude Code to make significant changes, so you have a clean rollback point.

For teams using Claude Code collaboratively, the documentation recommends storing CLAUDE.md and .claude.json in version control. This ensures that every team member benefits from the same project context and that configuration changes are reviewed alongside code changes.

Conclusion

The Claude Code official documentation provides everything you need to become proficient with this AI coding assistant. By following this walkthrough and experimenting with the examples provided, you’ll be well on your way to integrating Claude Code into your development workflow effectively.

The documentation is continuously updated, so make it a habit to check for new features and improvements regularly. The most impactful investment a new user can make is spending thirty minutes writing a thorough CLAUDE.md for each active project. this single step improves the quality of every subsequent interaction, compounding over hundreds of sessions.

With Claude Code at your side and a solid understanding of its documentation, you’ll find yourself writing better code, faster, with a tool that genuinely understands the context you are working in.

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