title: "What is Claude Code and how do developers use it?" date: "2026-04-29" author: "Stake & Paper Editorial Team" excerpt: "Claude Code is an AI-powered agentic coding tool that runs in your terminal, reads your entire codebase, and autonomously executes multi-file code changes, tests, and deployments through natural language commands." contentType: "explainer" category: "AI" tags: ["AI"] image: "/images/blog/what-is-claude-code-and-how-do-developers-use-it.jpg" imageAlt: "Digital art with text "claude code" and "vibe coding"" imageCredit: "Bernd 📷 Dittrich" imageCreditUrl: "https://unsplash.com/@hdbernd" ogImage: "/images/og/what-is-claude-code-and-how-do-developers-use-it.png"

Claude Code is an agentic coding tool that reads your codebase, edits files, runs commands, and integrates with your development tools. Unlike traditional code completion tools that suggest single lines of code, Claude Code operates at the project level—understanding your entire codebase architecture and executing complex, multi-step tasks with minimal human intervention. It's available in your terminal, IDE, desktop app, and browser.

Key Points

- Claude Code is an agentic coding system that reads your codebase, makes changes across files, runs tests, and delivers committed code.

- It operates at the project level, reads the full codebase, plans an approach across multiple files, executes changes, runs tests, and iterates on failures—with the developer defining the goal and reviewing the result rather than guiding each step.

- Claude Code requires explicit permission before modifying files or running commands, works within the developer's existing environment and uses their tools rather than operating in an opaque backend, and decisions about what code ships remain with the human.

- Developers can spawn multiple Claude Code agents that work on different parts of a task simultaneously, with a lead agent coordinating the work, assigning subtasks, and merging results.

- For builders without an engineering background, it's an entry point to software development that didn't exist until recently.

Understanding Claude Code

Claude Code is an AI assistant that runs in your terminal where you type natural language, and it reads your files, writes code, executes scripts, and interacts with your entire project. The fundamental difference from browser-based AI assistants is that Claude Code has direct access to your local filesystem and development environment. It's a terminal-based AI assistant designed to work directly in your local filesystem, operating where developers already spend their time: the command line.

An agentic system acts toward a goal with a degree of autonomy, rather than responding to one prompt at a time—Claude Code reads a codebase, plans a sequence of actions, executes them using real development tools, evaluates the result, and adjusts its approach. This means you can describe a complex objective in plain language, and Claude Code will break it down into steps, execute them, handle failures, and iterate until the task is complete.

How It Works

1. Codebase Understanding: Claude Code searches directories to build context and understand how modules connect. When you start a session in your project directory, it analyzes the structure and dependencies to understand the architecture.

2. Task Execution: You describe what you want in plain language, and Claude Code plans the approach, writes the code across multiple files, and verifies it works. For bugs, Claude Code traces the issue through your codebase, identifies the root cause, and implements a fix.

3. Development Workflow Integration: Claude Code works directly with git—it stages changes, writes commit messages, creates branches, and opens pull requests.

Developers don't need to memorize commands for git, Kubernetes, or other CLI tools; they describe what they want and Claude Code uses tools like the GitHub CLI natively, running the right commands with the right syntax.

Why It Matters

Claude Code creates and edits files across a codebase, taking on ambitious work like building new features or executing multi-file refactors at a scale, saving days of work. The impact extends beyond speed. Deep knowledge of systems and architecture that was previously held by a few engineers becomes accessible to the whole team with Claude Code.

Real-world adoption demonstrates significant productivity gains. Ramp integrated Claude Code into their development workflow and cut incident investigation time by 80%.

Wiz migrated a 50,000-line Python library to Go in roughly 20 hours of active development, a project the team estimated at two to three months of manual work.

Rakuten reduced the average delivery time for new features from 24 working days to 5.

Related Terms

• Agentic AI: An AI system that acts toward a goal with autonomy, planning and executing sequences of actions rather than responding to individual prompts.

• Model Context Protocol (MCP): An open standard for connecting AI tools to external data sources—with MCP, Claude Code can read your design docs in Google Drive, update tickets in Jira, pull data from Slack, or use your own custom tooling.

• CLAUDE.md: A markdown file you add to your project root that Claude Code reads at the start of every session, used to set coding standards, architecture decisions, preferred libraries, and review checklists.

Frequently Asked Questions

Who should use Claude Code?

Developers who want to hand off full tasks rather than autocomplete lines of code benefit most, but product managers, founders, and operations teams have also started building working tools by describing outcomes in plain language.

How does Claude Code handle safety and control?

Developers control how much autonomy Claude Code has, from approving every action to letting built-in classifiers distinguish safe actions from risky ones automatically—the default is cautious, with Claude Code asking before making changes to your files or running commands.

What tasks is Claude Code best suited for?

Claude Code excels at both routine development tasks like bug fixes and testing, as well as transformative work like refactors and feature implementation that require deep codebase understanding.

Last updated: April 29, 2026. For the latest energy news and analysis, visit stakeandpaper.com.