Claude Code
Complete guide to Claude Code: Anthropic's agentic coding tool for terminal, IDE, and browser.
Claude Code is Anthropic's agentic coding tool that lives in your terminal, reads your entire codebase, edits files, runs commands, and integrates with your development tools. Unlike autocomplete-style AI assistants, Claude Code operates as an autonomous agent — you describe a task in natural language, and it plans and executes the entire workflow across multiple files and tools. It's available as a terminal CLI, VS Code extension, JetBrains plugin, desktop app, browser interface, and via GitHub Actions and GitLab CI/CD. The project has accumulated over 82,000 GitHub stars since its February 2025 launch, with 66 releases shipped as of March 2026.
Latest Developments
Claude Code v2.1.81 shipped on March 20, 2026 — the project ships multiple releases per week. Recent additions include the Cowork mode, which lets Claude power through extended tasks autonomously while you focus elsewhere. The VS Code extension now offers inline diffs, @-mentions, plan review, and conversation history directly in the editor. GitHub Actions and GitLab CI/CD integration lets you tag @claude on pull requests for automated code review.
For a hands-on look at integrating Claude Code into real development workflows, see our blog post on development workflow integration. Anthropic also offers a free Claude Code in Action course covering architecture, context management, MCP servers, and GitHub integration.
Key Features and Capabilities
Claude Code handles the full range of coding tasks through natural language commands:
- Multi-file editing: Plans and executes changes across your entire codebase — refactoring, renaming, import updates — in a single session
- Shell execution: Runs build tools, test runners, linters, and deployment scripts with user approval
- Git workflows: Stages, commits, pushes, and creates PRs with structured commit messages following your repo's conventions
- MCP server integration: Connects to external tools and services — browser automation, databases, specialized workflows — via the Model Context Protocol
- Context management: Understands your project structure and maintains relevant context throughout long sessions
- GitHub integration: Tag
@claudeon GitHub issues and PRs for automated assistance in your existing version control workflow
Installation takes one command. On macOS/Linux:
curl -fsSL https://claude.ai/install.sh | bash
Windows is supported natively via PowerShell or WinGet — no WSL required. After installing, run claude inside any project directory to start.
Common Questions
- How do I install Claude Code?: One-command install via curl, Homebrew, or WinGet — requires a Claude Pro, Max, Teams, or Enterprise subscription, or a Console API account
- How do I set up Claude Code remote control on my phone?: Claude Code can be accessed remotely — see the setup guide for phone-based control options
- Can I approve or reject code changes from my mobile device?: Yes — Claude Code surfaces proposed changes for review before applying them, including from mobile
How Claude Code Compares
- Claude Code Remote vs SSH: When to use Claude Code's built-in remote access versus a traditional SSH tunnel to your development machine
All Claude Code Resources
Blog Posts
Deep Dives
- Claude Code 设计哲学：从51万行泄漏源码学习 AI Agent 架构 — Deep analysis of Claude Code's Agent Harness architecture, three-layer memory system, Prompt Engineering methodology, and anti-distillation defense from the leaked source code
Glossary
- Agentic Coding — The paradigm of AI tools that autonomously plan and execute multi-step coding tasks
FAQs
- How do I install Claude Code?
- How do I set up Claude Code remote control on my phone?
- Can I approve or reject code changes from my mobile device?
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All Claude Code Resources
Blog Posts
What makes Claude Code special? Its programmable agent architecture — hooks, skills, memory, and MCP — turns a CLI into a full AI engineering platform.
What makes Claude so good at coding? From agentic architecture to skill files and full shell access, here's why Claude Code outperforms traditional copilots.
Async hooks in Claude Code are shell commands that fire at lifecycle events like tool calls and prompts. Here's how they work and when to use them.
Superpowers uses structured markdown skills to force AI coding agents like Claude Code and Cursor to plan before coding — 67K GitHub stars and growing.
How to use Claude Code's /loop command and cron scheduling tools to automate recurring prompts, poll deployments, and set reminders within a session.
Red Green Refactor — a 20-year-old TDD practice — turns out to be the most effective way to get reliable, high-quality code from AI coding agents like Claude Code.
How pairing Obsidian's local markdown vault with Claude Code's file-aware agent creates a persistent, controllable context system that solves AI's biggest usability problem.
Compare MCP servers, CLI tools, and Skills — the three ways to extend Claude Code. Learn when each fits and avoid the over-engineering trap.
Learn how to effectively prompt Claude Code with structured instructions, CLAUDE.md files, and skill-based workflows for faster, more reliable results.
How to run Claude Code programmatically with the -p flag and Agent SDK CLI for CI/CD pipelines, automated reviews, and scripted workflows.
How Anthropic solved the long-running agent problem with initializer agents, progress files, and incremental coding sessions that span hours or days.
Claude Code now supports voice mode, letting developers speak their coding intentions instead of typing. Here's how it works and what it means for AI-assisted development.
Practical examples of Claude Code subagents for parallel research, code exploration, and multi-file refactoring workflows.
Claude Code introduces /simplify and /batch skills to automate pull request cleanup and parallel task execution, streamlining developer workflows.
Anthropic launches a research preview of Claude Code's security scanning feature, bringing AI-powered vulnerability detection directly into developer workflows.
Claude Code's new multi-agent code review feature runs deep PR analysis automatically, built to solve Anthropic's own 200% code output growth bottleneck.
Claude Code Remote lets you start coding tasks in your terminal and monitor or steer them from your phone. Here's how it works and why it matters.
How Claude Code's memory system works across sessions using CLAUDE.md files and auto memory, with practical setup guidance for engineering teams.
Step-by-step guide to Claude Code MCP setup — connect external tools, databases, and APIs to your terminal AI agent via Model Context Protocol.
Master every Claude Code keyboard shortcut — from input control to session management. The complete reference for power users.
Master Claude Code hooks to add deterministic automation to your AI coding workflow. Lifecycle events, configuration, and practical patterns.
Explore the best free alternatives to Claude Code for AI-assisted coding, from OpenAI Codex to open-source local LLM options.
How product managers use Claude Code for spec writing, data analysis, prototype validation, and codebase understanding — no coding required.
Claude Code ships 4 extension primitives — Skills, Hooks, Agents, MCP — turning a terminal AI coding assistant into a programmable development platform.
How engineering teams at Ramp, Rakuten, Brex, Wiz, Shopify, and Spotify are using Claude Code to ship faster, reduce toil, and rethink developer workflows.
How Claude Code's Ctrl+S prompt stashing lets you queue up your next instruction while Claude is still working, eliminating idle waiting time.
Everything you need to know about Claude Code — Anthropic's terminal AI coding agent. Setup, features, pricing, comparisons, and best practices.
Claude Code and claude.ai users report elevated login errors and slower performance amid surging demand. Here's what's happening and what to do.
Claude Code's new /btw command lets you have side chain conversations while your agent keeps working — no more waiting to ask questions.
Claude Code Agent Teams let developers spawn parallel AI sub-agents in isolated git worktrees. Here's how multi-agent orchestration actually works.