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    Claude Code

    Build, debug, and ship with natural language.

    Claude Code

    Build, debug, and ship with natural language.

    Tool Introduction

    Claude Code is built by Anthropic, a San Francisco-based AI safety company founded on January 26, 2021 by Dario Amodei, Daniela Amodei, Jared Kaplan, Jack Clark, Chris Olah, Ben Mann, Sam McCandlish, and Tom Brown. Anthropic introduced Claude Code on February 24, 2025 as a limited research preview alongside the Claude 3.7 Sonnet model. On May 22, 2025, with the launch of Claude Opus 4 and Sonnet 4, Claude Code reached general availability and gained VS Code and JetBrains extensions, an extensible SDK, and a beta GitHub integration.

    Demo Available?

    An in-page interactive demo on the Claude Code product page walks through adding a dark-mode toggle, showing real file edits and a live UI preview.

    Tool's Accuracy

    Claude Code's coding competence is delivered by the underlying Claude model, so that model's disclosed benchmark scores are the relevant accuracy measurement. A correct result means a change that actually resolves the stated issue and passes verification, which is what SWE-bench Verified and agentic-benchmark methodologies score.

    Claude Opus 4.8, released May 28, 2026, is the model Anthropic recommends for complex agentic coding in Claude Code, with effort defaulting to high on that surface. Its announcement states it exceeds prior Opus models across every effort level and reports 84% on Online-Mind2Web, a browser and computer-use agentic benchmark.

    As disclosed history for a now-superseded version, Claude Opus 4.6 (February 5, 2026) reported:

    • 76.0% on SWE-bench Verified averaged over 25 trials, or 81.42% with a modified prompt configuration.
    • A number 1 result on Terminal-Bench 2.0.
    • 65.0% on MCP Atlas at max effort, and 62.7% at high effort.
    Aggregate Rating

    4.6/5 stars (based on 329 verified reviews across G2 and Capterra)

    Detailed Overview

    What Claude Code Does

    Claude Code turns natural-language instructions into working code changes. It maps an entire codebase using agentic search, edits across multiple files with dependency awareness, and runs shell commands, tests, and git operations. A permission system gates the work, asking for approval before file changes or command execution. Sessions can run in the terminal, inside an editor, on the desktop, or in the browser.

    Who Claude Code Is For

    Claude Code serves individual developers handling day-to-day coding through to enterprise engineering organizations. Published customer stories include Rakuten running large-scale engineering, Classmethod in software and IT consulting, CRED in fintech, Pendo building a product-analytics feature, Epic Systems in healthcare technology, and HubSpot in marketing and CRM. Anthropic reports its own engineers spend an average of 20 hours per week using the tool.

    Top Differentiators

    Claude Code runs locally in the terminal without remote code indexing, mapping a codebase with agentic search rather than a static embedding index. Its permission architecture defaults to read-only, requiring approval for edits or commands, with a sandboxed bash tool and writes confined to the working directory. Dynamic Workflows can orchestrate tens to hundreds of parallel subagents, and the same engine, CLAUDE.md files, and MCP (Model Context Protocol) servers work across every surface.

    Founding Year

    2021

    Target Industry

    B2B, B2C, SMB, Enterprise, e-commerce, IT and software services, fintech, SaaS, healthcare technology, marketing and CRM

    Available Integrations
    • GitHub: read and write issues and pull requests and run code review through the Model Context Protocol (MCP) and a native GitHub App; authentication requires a manually generated fine-grained personal access token.
    • GitHub Actions: CI-embedded automation that responds to @claude mentions to create PRs and fix bugs; the quick /install-github-app setup works only for direct Claude API users.
    • GitLab CI/CD: the GitLab equivalent of the GitHub Actions integration, for CI-driven automation on GitLab pipelines.
    • GitHub Code Review: automatic review posted on every pull request without an explicit @claude trigger, catching bugs before human review.
    • Slack: mentioning @Claude routes a task to a Claude Code web session; GitHub repositories only, one pull request per session, channels not DMs.
    • Chrome and Microsoft Edge: browser automation using the logged-in session for debugging and form filling; only Chrome and Edge are supported, and not in WSL.
    • Sentry: a remote MCP server that pulls production error and monitoring data into a session, with OAuth 2.0 authentication via the /mcp flow.
    • Jira, Notion, Asana, Stripe, HubSpot: remote MCP servers added via claude mcp add one-liners; most require separately generated API credentials per service.
    • Google Workspace and Microsoft 365: Gmail, Calendar, and Drive connectors that must be authorized under Settings, Connectors on claude.ai rather than through local OAuth.
    • JetBrains and VS Code: native inline-diff and plan-review extensions sharing one engine and CLAUDE.md config; the JetBrains plugin is marked beta and needs the CLI installed.
    • Claude Agent SDK: builds fully custom agents on Claude Code's tool and orchestration engine, with full control over tool access and permissions.
    • Mobile and Remote Control: start and steer sessions from iOS or Android; claude --teleport pulls a cloud session into the local terminal, and Dispatch is gated to Pro and Max plans.
    • Free ($0): chat, code generation, web search, memory, file creation, and code execution; Claude Code is not included.
    • Pro: $17 per month with an annual subscription discount ($200 billed up front), or $20 if billed monthly; includes Claude Code, unlimited projects, Research access, and multiple Claude models.
    • Max 5x: from $100 per month; includes Claude Code, 5x more usage than Pro, higher output limits, early access to advanced features, and priority access during high traffic.
    • Max 20x: $200 per month; includes even more Claude Code and the most access to Claude models.
    • Team Standard seat: $20 per seat per month billed annually, or $25 per seat per month billed monthly, for teams of 5 to 150 people; includes Claude Code, SSO, admin controls, and no training on customer content.
    • Team Premium seat: $100 per seat per month billed annually, or $125 per seat per month billed monthly, giving 5x more usage than standard seats.
    • Enterprise (self-serve): $20 per seat plus usage billed at API rates, annual billing required; adds role-based access, SCIM, audit logs, a Compliance API, custom data retention, network access controls, IP allowlisting, and a HIPAA-ready option.
    • Enterprise (sales-assisted): custom pricing via Contact sales, annual billing, with the same feature set as self-serve Enterprise under a negotiated agreement.
    • API (Claude Console): billed at standard API pricing per token, with Claude Sonnet 5 at $3 and $15 per million input and output tokens (introductory $2 and $10 per million through 2026-08-31); an optional Fast Mode is priced at $30 and $150 per million input and output tokens.

    Price and plans are subject to change at Anthropic's discretion, and usage limits apply within each plan tier.


    Pricing last verified: 07/04/2026
    Disclaimer: Pricing is subject to change. Please confirm current pricing on the vendor site.
    Features & Specs
    • Model aliases: sonnet, opus, haiku, and fable, plus opusplan (Opus for planning, Sonnet for execution); on the Anthropic API, opus resolves to Opus 4.8 and sonnet to Sonnet 5.
    • Context window: Sonnet 5 runs with a 1-million-token context window on the Anthropic API, auto-compacting by default at roughly 967K tokens; [1m] suffixes enable extended context.
    • Effort levels: low, medium, high, xhigh, and max control adaptive reasoning depth and vary by model.
    • Surfaces: Terminal CLI, VS Code extension, JetBrains plugin (IntelliJ IDEA, PyCharm, WebStorm), standalone Desktop app (macOS, Windows, Windows ARM64), a browser experience at claude.ai/code, and the Claude iOS app.
    • Installation: macOS, Linux, Windows (native, WSL, PowerShell, CMD), Homebrew, WinGet, and Linux package managers (apt, dnf, apk); native installs auto-update.
    • Agent SDK: builds custom agents with full control over orchestration, tool access, and permissions.
    • Workflows: Routines run on Anthropic-managed infrastructure, triggerable by schedule, API call, or GitHub event via /schedule; sub-agents and background agent teams run in parallel under a lead agent.
    • Project memory: CLAUDE.md files plus auto memory, reusable Skills, and Hooks that run shell commands before and after actions.
    Security & Compliance

    Certifications and encryption

    Claude Code is developed according to Anthropic's security program, with a SOC 2 Type 2 report and an ISO 27001 certificate available through the Anthropic Trust Center at trust.anthropic.com. Data in transit is encrypted with TLS 1.2 or higher.

    • Anthropic API: infrastructure-level AES-256 disk encryption, with Zero Data Retention available for no server-side persistence.
    • Amazon Bedrock: AES-256 with AWS-managed or customer-managed (KMS) keys.
    • Google Cloud Agent Platform: Google-managed keys with a CMEK option.
    • Microsoft Foundry: AES-256 disk encryption.

    Training and retention

    For consumer users (Free, Pro, Max), data may be used to train future models only if the user enables that setting, including Claude Code usage. For commercial users (Team, Enterprise, API, third-party platforms, Claude Gov), Anthropic does not train generative models on code or prompts sent to Claude Code unless the customer opts into the Development Partner Program.

    • Consumer retention: 5 years if model-improvement use is allowed, or 30 days if not.
    • Commercial retention: standard 30-day period, with Zero Data Retention available per organization for qualifying Claude for Enterprise accounts.
    • Local transcripts: cached in plaintext under ~/.claude/projects/ for 30 days by default, configurable via cleanupPeriodDays.

    Enterprise administration

    • Single sign-on: SAML 2.0 and OIDC, with verified paths for Okta, Microsoft Entra ID, and Google Workspace.
    • Provisioning: SCIM and JIT provisioning for Enterprise and Console organizations only.
    • Access and audit: role-based access control, full audit logs, a Compliance API, configurable data retention, and per-user and per-repo usage analytics.
    • References: GDPR and CCPA are referenced in Anthropic's enterprise materials, along with a HIPAA-ready offering.

    Cloud sessions

    Claude Code cloud and web sessions run in isolated, Anthropic-managed virtual machines with limited-by-default network access, GitHub credentials handled through a scoped secure proxy, git-push restricted to the working branch, audit logging of cloud operations, and automatic environment cleanup after a session ends. Security vulnerabilities are reported through Anthropic's HackerOne program.

    Industry Use-Cases

    E-commerce engineering at Rakuten

    Rakuten cut time-to-market on a feature by 79%, from 24 working days to 5, and moved from quarterly to biweekly release cycles. One machine-learning engineer sustained 7 hours of autonomous coding on a vLLM activation-vector refactoring task. The case study reports 99.9% accuracy on complex code modifications and a 97% reduction in critical errors.

    Software and IT consulting at Classmethod

    At Classmethod, time spent on code review fell 80%, and a Google Apps Script task that took 24 hours dropped to 1 hour, a 96% reduction. Merged pull requests climbed from 108 in January to 165 across May and June. The firm states its open-source project rulesync was 99% implemented using Claude Code.

    Marketing and CRM workflows at HubSpot

    HubSpot applied Claude Code across web-development and content-creation workflows, reporting productivity increases of up to 40%. Complex technical troubleshooting that previously took 3 to 5 days dropped to under an hour.

    All figures above come from Anthropic's published customer case studies and are vendor claims rather than independently audited results.

    Tool's Alternatives

    GitHub Copilot lets users assign a task to Copilot, Claude, or OpenAI Codex interchangeably and track results from a unified desktop workspace. Its conversational Chat interface is available only in Visual Studio Code, JetBrains, and Visual Studio, not as a first-class standalone CLI. It is embedded directly into GitHub's pull request, issue, and Actions substrate and is model-agnostic at the orchestration layer.

    Cursor offers an autonomy slider spanning tab-completion, targeted Cmd+K edits, and full autonomous agent mode within one product. It is positioned as an IDE fork with its own editor, so the primary workflow is editor-centric rather than terminal-first. Cursor lets users switch between multiple models such as GPT-5.5, Opus 4.8, and Gemini 3.1 Pro rather than tying to a single vendor.

    OpenAI Codex CLI uses a three-tier approval model, Auto, Read-only, and Full Access, governing file and network access per session, plus a /review command for local code review. OpenAI's docs note that subagent workflows consume more tokens than comparable single-agent runs. It is OpenAI's terminal-native counterpart, built around GPT-5.1-Codex-Max's own context-compaction behavior.

    Devin is positioned as an autonomous AI software engineer that can spin up parallel Devins and integrates with more than 50 external platforms. Cognition's guidance frames it around bounded, well-defined tasks, implying weaker fit for very open-ended work. It runs in Cognition's own sandboxed cloud environment with its own browser, shell, and editor rather than a local terminal.

    Gemini CLI is fully open source under Apache 2.0, letting developers inspect the entire agent implementation, and ships with a documented free tier and a 1-million-token context window via Gemini 2.5 Pro. As a community-extensible tool it relies more heavily on user-configured MCP servers for the integration breadth Claude Code ships as packaged features. Its differentiator is being both free-tier and open source at the core agent level.

    Frequently Asked Questions

    Which Claude subscription plans include Claude Code access?

    Claude Code is included in Pro ($17 per month annually or $20 monthly), Max 5x, Max 20x, Team Standard and Premium seats, and Enterprise. The Free plan does not include Claude Code.

    Which environments and editors does Claude Code support?

    Claude Code runs as a terminal CLI, a VS Code extension, a JetBrains plugin, a desktop app for macOS and Windows, and in the browser at claude.ai/code, plus the Claude iOS app.

    Which AI models does Claude Code use?

    Model aliases include sonnet, opus, haiku, and fable, plus opusplan. On the Anthropic API, opus resolves to Opus 4.8 and sonnet to Sonnet 5, which runs with a 1-million-token context window.

    Does Claude Code hold any security certifications?

    Anthropic makes a SOC 2 Type 2 report and an ISO 27001 certificate available through its Trust Center at trust.anthropic.com. Data in transit is encrypted with TLS 1.2 or higher.

    Is customer code used to train models?

    For commercial users on Team, Enterprise, and API terms, Anthropic does not train generative models on code or prompts sent to Claude Code unless the customer opts into the Development Partner Program.

    Which external tools does Claude Code integrate with?

    Claude Code connects through the Model Context Protocol to tools such as Sentry, Jira, and Notion, plus first-party integrations for GitHub Actions, GitLab CI/CD, Slack, and Chrome.

    Is there a demo to try Claude Code?

    The Claude Code product page includes an interactive demo that walks through adding a dark-mode toggle, showing real file edits and a live UI preview. No separate sales demo is listed.

    How much autonomous work can Claude Code handle?

    In Anthropic's Rakuten case study, one engineer sustained 7 hours of autonomous coding on a refactoring task, and time-to-market on a feature fell 79%, from 24 working days to 5.

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