Pemrograman AI & Alat Pengembang

claude-code — Agentic coding in the terminal

anthropics/claude-code

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

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Tangkapan layar proyek

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Ringkasan

anthropics/claude-code is an open-source project in ToolAI's AI development tools category. 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 The page is intended to help technical readers decide whether the project is worth a closer review; it is not an endorsement. The TypeScript implementation and the repository owner anthropics are recorded from the catalog metadata.

Fitur utama

  • Official repository maintained by anthropics; the repository description identifies it as agentic coding in the terminal.
  • Primary language recorded for this editorial entry: TypeScript.
  • Repository statistics and links are shown as a dated metadata snapshot, so readers can re-check them before adoption.
  • The official README, releases and issue tracker remain the source of truth for installation and compatibility details.

Persyaratan, instalasi, dan mulai cepat

Requirements depend on the current official documentation. Start with the repository's README and pin a reviewed release before production use.

git clone https://github.com/anthropics/claude-code
cd claude-code

Use the project's documented environment manager, model weights and optional accelerators. Do not copy commands from an unverified mirror; check the release notes and lock compatible dependencies first.

Penggunaan

This page is an objective orientation for agentic coding in the terminal. Read the official quick-start example, run it in an isolated environment, and record the exact commit or release used. For an agent or model workflow, keep tool permissions narrow, validate external inputs, and measure latency and quality on a representative test set. The repository's README and examples should be consulted for API details that may change.

Kompatibilitas model dan kasus penggunaan

The repository metadata describes the project scope but does not guarantee compatibility with every model, provider, checkpoint or accelerator. Confirm supported model identifiers, tokenizer versions, hardware requirements and license terms in the official documentation before connecting it to an LLM, agent, MCP server or RAG pipeline.

Catatan lisensi dan risiko

GitHub metadata reports the repository license as License not detected. Review the repository LICENSE and any separate model, dataset, weight or third-party dependency terms before redistribution or commercial use. A missing or NOASSERTION license is not a grant of permission.

Editorial verification 2026-08-02: official repository URL, owner, description, license field and repository statistics were reviewed. License metadata: License not detected. Re-check README, releases and dependency/model terms before production use.

Rilis dan pemeliharaan

Snapshot: 139,098 stars, 22,330 forks and 13,336 open issues; repository creation is not stated and last pushed date is 2026-07-25 when supplied by the catalog. Check the official releases page for the current version rather than treating these numbers as a guarantee of maintenance or quality.