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Claude Code

Paid
docs.anthropic.com

Anthropic's agentic coding tool for the terminal. An AI assistant that understands your codebase, edits files, runs commands, and handles complex engineering tasks.

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Added on February 23, 2026← Back to all tools

What does this tool do?

Claude Code is an AI agent that directly manipulates your codebase, executing file edits, running terminal commands, and managing multi-file development tasks. Unlike chatbots that suggest code, Claude Code actually makes changes to your project and verifies them by running commands. It's available across multiple surfaces—terminal CLI, VS Code, JetBrains IDEs, desktop app, web browser, and Slack—allowing developers to interact with it in their preferred environment. The tool maintains context of your entire codebase, enabling it to make informed decisions about architecture, dependencies, and cross-file impacts. It integrates with development workflows through GitHub Actions, GitLab CI/CD, and IDE extensions, making it suitable for both local development and automated pipelines.

AI analysis from Feb 23, 2026

Key Features

  • Multi-file code editing with direct filesystem access and change tracking
  • Terminal command execution to test, build, and validate code changes
  • Codebase understanding via context awareness of project structure and dependencies
  • Interactive diff viewing and plan review before changes are applied
  • Cross-IDE support through VS Code, JetBrains, Cursor, and desktop app with synchronized functionality
  • CI/CD integration via GitHub Actions and GitLab CI/CD plugins for automated workflows
  • Third-party API provider support allowing use of compatible LLM services
  • Conversation history and @-mention syntax for precise task targeting

Use Cases

  • 1Terminal-based development where you want an AI agent to read, edit, and test code without leaving the CLI
  • 2Bug fixes across multiple files where understanding codebase architecture is essential
  • 3Feature implementation that requires changes spanning different modules and dependencies
  • 4Automated refactoring tasks executed through GitHub Actions or GitLab CI/CD pipelines
  • 5IDE-integrated development in VS Code or JetBrains where you want inline diff review before accepting changes
  • 6Web-based collaborative sessions for remote teams or working on unfamiliar repositories
  • 7Rapid prototyping where you iterate with an AI agent that can test code immediately

Pros & Cons

Advantages

  • Available across 8+ platforms (terminal, VS Code, JetBrains, desktop app, web, Chrome extension, GitHub Actions, Slack), giving developers flexibility to choose their environment
  • Executes actual code changes and runs commands to validate work, rather than just suggesting code snippets
  • Supports third-party API providers beyond Anthropic's own platform, reducing vendor lock-in for terminal and VS Code users
  • Integrated diff viewing and plan review features help developers understand and approve changes before they're committed

Limitations

  • Requires a Claude subscription or Anthropic Console account for most surfaces, creating an additional cost for teams
  • Desktop and web versions lack auto-update capability in some installation methods (Homebrew, WinGet), requiring manual updates
  • Limited details on context window size and handling of very large codebases—unclear how well it scales for enterprise-sized projects
  • Documentation is incomplete; the 'What you can do' section is truncated on the provided page, making full capability assessment difficult

Pricing Details

Pricing details not publicly available on the provided documentation page. The docs mention that a Claude subscription or Anthropic Console account is required for most surfaces, and note that desktop and web versions require a 'paid subscription,' but specific pricing tiers and costs are not detailed.

Who is this for?

Professional software developers and engineering teams who work in terminal/CLI environments or use VS Code and JetBrains IDEs. Best suited for teams building multi-file applications where codebase understanding matters, teams using GitHub or GitLab for CI/CD automation, and developers willing to pay for API usage. Less ideal for casual coders, students on tight budgets, or those exclusively using other IDEs.

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