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    anthropics/claude-code

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    Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflows - all through natural language commands.

    cli
    Python
    134.6K stars
    21.7K forks
    134.6K GitHub watchers
    Updated 6/27/2026
    View on GitHub

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    Use Cases & Benefits

    • Provides an AI-powered terminal tool that understands your codebase and executes coding tasks via natural language commands.
    • Enables faster coding by automating routine tasks, explaining complex code, and managing git workflows without leaving the terminal.
    • Use for accelerating development by automating repetitive coding and git operations directly from the command line.
    • Use for gaining quick explanations of unfamiliar or complex code sections to improve code comprehension.
    • Use for integrating AI-assisted coding workflows seamlessly into IDEs or GitHub by tagging @claude for contextual help.

    About claude-code

    Claude Code

    npm

    Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflows -- all through natural language commands. Use it in your terminal, IDE, or tag @claude on Github.

    Learn more in the official documentation.

    Get started

    1. Install Claude Code:
    npm install -g @anthropic-ai/claude-code
    1. Navigate to your project directory and run claude.

    Reporting Bugs

    We welcome your feedback. Use the /bug command to report issues directly within Claude Code, or file a GitHub issue.

    Connect on Discord

    Join the Claude Developers Discord to connect with other developers using Claude Code. Get help, share feedback, and discuss your projects with the community.

    Data collection, usage, and retention

    When you use Claude Code, we collect feedback, which includes usage data (such as code acceptance or rejections), associated conversation data, and user feedback submitted via the /bug command.

    How we use your data

    See our data usage policies.

    Privacy safeguards

    We have implemented several safeguards to protect your data, including limited retention periods for sensitive information, restricted access to user session data, and clear policies against using feedback for model training.

    For full details, please review our Commercial Terms of Service and Privacy Policy.

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