Claude Code

Claude Code is Anthropic’s agentic coding tool for working with a codebase through natural-language prompts. It runs in the terminal and is also available through IDE, desktop, web, and browser-based surfaces. The tool can read project context, edit files across a repository, run shell commands, work with git, and integrate with development workflows such as code review, CI/CD, Slack, and Model Context Protocol (MCP) servers.

Top features

• Repository-aware coding agent: reads the codebase, works across multiple files, and can help build features, fix bugs, explain unfamiliar code, and automate development tasks.
• Terminal-first workflow: the CLI can edit files, run commands, pipe input from other tools, and be scripted for CI or repeatable command-line workflows.
• IDE and desktop options: VS Code and Cursor support inline diffs, @-mentions, plan review, and conversation history; JetBrains support includes interactive diff viewing and selection context sharing.
• Git and pull request support: can stage changes, write commit messages, create branches, open pull requests, and assist with code review or issue triage through GitHub Actions and GitLab CI/CD.
• MCP connectivity: uses Model Context Protocol to connect Claude Code with external tools and data sources such as design docs, ticketing systems, Slack, or internal services.
• Project instructions and memory: CLAUDE.md files define project standards and preferences; memory features can preserve learned build commands and debugging context across sessions.
• Permissions and hooks: permission modes and hooks let teams control what actions Claude Code can take and run shell commands before or after selected agent actions.

Use cases

• Add tests for untested modules, run them, and fix failures found during the test run.
• Investigate bugs from logs, stack traces, or user-reported symptoms, then make a scoped code change.
• Refactor code across multiple files while preserving behavior and running project checks.
• Resolve lint errors, merge conflicts, dependency updates, and other maintenance tasks.
• Draft commits, branches, pull requests, release notes, and PR review feedback from repository context.
• Connect coding work to external systems through MCP, such as Jira tickets, Google Drive docs, Slack messages, or custom internal tools.