[2026 Latest] What is Claude Code? 5 Ways to Triple Your Productivity
“I’m curious about AI coding tools, but which one should I actually use?”
Many engineers likely share this concern. I was in the same boat until six months ago. With the ever-growing list of options like GitHub Copilot, Cursor, and ChatGPT, my approach to development changed fundamentally after I started using Claude Code, which was released in 2025.
In this article, I will organize the features of Claude Code while comparing it with other tools, and introduce 5 concrete ways to triple your productivity. I will also share how you can get started for free, so please be sure to read until the end.
What is Claude Code? An easy-to-understand explanation of its features and mechanism
Claude Code is an agent-based AI coding tool provided by Anthropic.
An “agent-based” tool is an AI that doesn't just complete code, but can autonomously execute tasks based on instructions. It handles a series of development tasks—from reading and writing files to executing commands and creating tests—while making its own decisions.
Key features of Claude Code
・200K token context window: It can grasp a wide range of large-scale codebases. A token is the smallest unit the AI uses to process text. 200K tokens correspond to roughly several thousand to over 10,000 lines of code. Furthermore, thanks to smart context management, it can efficiently process even massive repositories.
・High scores on SWE-bench: It has recorded industry-leading results on benchmarks (standard tests) that measure software engineering capabilities.
・Terminal-native: It is editor-agnostic. You can integrate it directly into the environment you use daily, such as VS Code, JetBrains, or Vim.
・Git integration: It supports everything from creating commit messages and generating PRs to code reviews.
What surprised me most was the breadth of its context. It makes suggestions while understanding the structure of the entire project. The problem of “making off-target corrections by looking only at this file” almost never happens.
Claude Code vs GitHub Copilot vs Cursor | A Thorough Comparison of the 3 Major AI Tools
Let’s compare the three leading AI development tools.
Comparison by Design Philosophy | Completion-based, Editor-integrated, and Agent-based
GitHub Copilot is an “excellent completion engine.” It predicts and suggests the next line while you are writing code. Its appeal lies in the natural experience that feels like an extension of your typing.
Cursor is an “editor that can talk to AI.” You can give instructions via chat and have it edit code directly in the editor. It is easy to adopt for those accustomed to VS Code.
Claude Code is an “autonomously acting engineer.” When you give instructions from the terminal, it reads files, writes code, runs tests, and checks the results on its own.
My personal way of using them is as follows: I use Copilot for minor completions and Claude Code for implementing new features or refactoring. They are not competing tools; using them together is recommended.
Triple your productivity with Claude Code! 5 practical ways to use it
I will introduce the ways I actually used Claude Code to improve my development speed by 2 to 10 times.
Usage 1: Automating bug fixes
Simply by instructing it to 'investigate and fix this error log,' Claude Code will identify the cause and propose a fix.
In my actual testing, there were many cases where bug investigations that previously took 30 minutes were completed in 5 minutes. It is particularly effective at tracking bugs that span multiple files.
Usage 2: Automatic Test Generation
Just ask it to 'write unit tests for this module.'
In my project, test coverage jumped from 30% to 90%. Being able to leave test creation, which is often put off when done manually, to AI is a huge benefit. You only need to review and adjust the generated tests. It is far more efficient than writing them from scratch.
Usage 3: Share Project Rules with CLAUDE.md
CLAUDE.md is a configuration file used to communicate project rules and conventions to the AI. Simply placing it in the root of your repository allows Claude Code to operate according to those rules.
For example, you can write content like the following:
・Coding standards (naming rules, indentation, etc.)
・Explanation of directory structure
・How to run tests
・Commit message format
This transforms a 'newbie AI that doesn't know team rules' into a 'veteran AI that understands the project context.' In my experience, the presence or absence of CLAUDE.md makes a noticeable twofold difference in output quality.
Usage 4: Standardize Workflows with Skills
Skills is a feature that allows you to turn frequently used operations into templates.
For example, a task like 'adding a new API endpoint' involves multiple steps such as routing configuration, controller creation, and test addition. If you register this as a Skill, you can execute it with the same quality every time.
The key point is that by standardizing repetitive tasks, you can prevent variations in quality.
Usage 5: Connect with External Tools via MCP Integration
MCP (Model Context Protocol) is a standard specification that allows AI to integrate with external services and tools.
Claude Code supports MCP, enabling integrations such as the following:
・Database: Execute SQL directly and check results
・Browser: Retrieve and analyze web page content
・External API: Interact directly with services like Slack or GitHub
I have set up the GitHub MCP server to handle everything from checking issues to creating PRs entirely within Claude Code. This reduces the need to switch between tools and contributes significantly to maintaining focus.
Claude Code Pricing Plans | Comparing Free, Pro, and Max
Pricing Plans
Claude Code offers three plans.
・Free ($0): Experience basic features. Usage limits apply
・Pro ($20/month): Sufficient usage for daily development
・Max ($100+/month): For large-scale projects. Significantly higher usage limits
We recommend starting with the free tier and upgrading to Pro once you find it indispensable. This is the path I took when I first adopted it.
Getting Started in 3 Steps
Step 1: Installation
npm install -g @anthropic-ai/claude-code Node.js (version 18 or higher) is required.
Step 2: Launch in your project
cd your-project
claudeSimply navigate to your project directory and run the claude command.
Step 3: Give your first instruction
このプロジェクトの構成を説明してStart by having it analyze your project to experience the true power of Claude Code.
You will be prompted to authenticate with your Anthropic account upon first launch. You can start using it immediately even with a free account.
Summary | 3 Steps to Start with Claude Code Today
Claude Code is more than just a code completion tool. It has the potential to change the way we develop as an agent-based tool capable of executing tasks autonomously.
Here are three action plans you can try starting tomorrow:
Today: Install Claude Code and launch it in an existing project
This week: Create a CLAUDE.md file to define your project rules
Next week: Start using it practically for automated test generation and bug fixes
We have entered an era where the question for AI coding tools is not "if" you will use them, but "when" you will start. Try it out with the free tier first and experience its capabilities for yourself.
If you found this article helpful, please give it a "like" and follow us. AI Insight Lab shares practical ways to use AI development tools every week.