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What Is Claude Code and Why Every Developer Should Try It

joey-io's avatarjoey-io6 min read

A deep dive into Anthropic's Claude Code CLI — what it does, how it works, and why it might change the way you write software.

The Terminal Just Got a Lot Smarter

There's a moment every developer hits. You're deep in a codebase, three tabs of Stack Overflow open, and you're trying to remember the exact syntax for that one API you used six months ago. You know the shape of what you want. You just can't quite get there.

Claude Code is built for that moment. And about a thousand others like it.

Released by Anthropic as an official CLI tool, Claude Code puts a full AI coding assistant directly in your terminal. Not in a browser. Not behind a GUI. Right there, next to your git commands and your build scripts, where the actual work happens.

And honestly? Once you've used it for a week, going back feels like switching from autocomplete to a typewriter.

What Claude Code Actually Is

At its core, Claude Code is a command-line interface that connects your terminal to Anthropic's Claude models. You type natural language. It reads your codebase, understands the context, and writes real code — or explains existing code, debugs problems, refactors files, writes tests, and handles the kind of tedious multi-file edits that normally eat an afternoon.

But calling it "a chatbot in the terminal" misses the point entirely.

Claude Code is agentic. It doesn't just answer questions. It takes actions. It reads files, searches your project, makes edits, runs commands, and verifies its own work. You can tell it "add error handling to all the API routes in this project" and watch it systematically work through every file, making changes that actually compile and run.

It understands your project structure. It remembers context within a session. It can work with files you haven't even mentioned, because it knows how to explore a codebase the way a senior developer would — by looking at imports, following references, checking tests.

Why It's Different from Other AI Coding Tools

You've probably tried GitHub Copilot. Maybe Cursor. Maybe you've pasted code into ChatGPT. Those are all useful tools. But Claude Code occupies a different niche, and understanding that niche matters.

It lives in your terminal. There's no editor to install, no extension to configure, no new IDE to learn. If you have a terminal, you have Claude Code. This matters more than you'd think — it means Claude Code works with whatever editor you already use. Vim, Neovim, VS Code, Emacs, a plain text editor — doesn't matter. Your workflow stays yours.

It's agentic, not just generative. Most AI coding tools generate text. Claude Code generates text and takes actions. It will create files, edit files, run your test suite, install packages, and commit changes. You're not copying and pasting from a chat window. You're having a conversation with something that can actually touch your filesystem.

It understands MCP. This is the big one. The Model Context Protocol lets Claude Code connect to external tools and data sources. Databases, APIs, browsers, documentation servers — all accessible through standardized MCP servers. This means Claude Code isn't limited to what it knows from training. It can reach out, check your actual database schema with SSupabase MCP or NNeon MCP, read live documentation through CContext7, or automate browser interactions through PPuppeteer MCP.

What You Can Actually Do With It

Let me get specific, because vague promises about "AI-powered development" don't help anyone.

Refactor Across Files

Tell Claude Code to rename a function and update every import, every test, every reference. It finds them all. It handles the edge cases. It works across TypeScript, JavaScript, Python, Go, Rust — whatever you're writing.

Debug With Context

Paste an error message or just describe the bug. Claude Code will read the relevant files, trace the logic, and tell you exactly what's wrong. Often it'll fix it too, if you let it.

Write Tests

"Write tests for this module" actually works. Claude Code reads the implementation, understands what it does, and generates meaningful tests — not just boilerplate assertions.

Generate Boilerplate

API routes, database migrations, config files, CI pipelines. All the stuff that's tedious but necessary. Claude Code handles it in seconds.

Explain Unfamiliar Code

Inherited a codebase? Working with a new framework? Ask Claude Code to explain what a file does, how a function works, or what a particular pattern is for. It reads the code and gives you a real explanation, not a generic one.

The MCP Ecosystem Makes It Unstoppable

I want to spend a minute on MCP because it's genuinely the thing that elevates Claude Code from "very good AI assistant" to "I can't believe I used to do this manually."

MCP servers are like plugins for Claude Code. Each one gives it a new capability. CContext7 lets it pull up-to-date documentation for any library. SSupabase MCP lets it query and modify your Supabase database directly. NNeon MCP does the same for Neon databases. PPuppeteer MCP gives it a browser to automate.

The result is that Claude Code can do things like: "Check the current schema of my users table, then write a migration to add an email verification column, then update the API route to use it, then write a test." And it actually does all of that, in sequence, correctly, because it can check the real database instead of guessing.

How It Compares to AAider

If you've used AAider, you already know what terminal-based AI coding feels like. Aider is an excellent tool — it pioneered a lot of this space. The main differences come down to model quality and agentic capability.

Claude Code uses Anthropic's latest Claude models, which tend to be exceptionally strong at code understanding and generation. It also has deeper agentic abilities — the tool use, the MCP integration, the ability to chain complex multi-step operations.

Aider, on the other hand, supports a wider range of models and has a strong git integration workflow. If you're using a model other than Claude, Aider might be your better bet. If you're all-in on the Claude ecosystem, Claude Code is the native experience.

Both are worth having in your toolkit. Seriously.

Getting Started

Installation is straightforward:

bashnpm install -g @anthropic-ai/claude-code

Then just run claude in any project directory. It'll start a session, scan your codebase, and you can start talking to it immediately.

A few tips for getting the most out of it:

  1. Be specific about what you want. "Fix the bug" is okay. "The login endpoint returns 500 when the email contains a plus sign — fix the validation" is much better.
  1. Let it read first. If Claude Code wants to explore files before making changes, let it. That exploration is how it builds context.
  1. Use MCP servers. Seriously. Set up CContext7 for documentation and SSupabase MCP or NNeon MCP for your database. The productivity jump is enormous.
  1. Review what it does. Claude Code is powerful, but it's not infallible. Read the diffs. Run the tests. Trust but verify.
  1. Use it for the boring stuff. The biggest productivity gain isn't the clever stuff — it's the tedious stuff. Boilerplate, refactoring, test writing, documentation. Let Claude Code handle the grind so you can focus on architecture and design.

The Bottom Line

Claude Code isn't a gimmick. It's not a toy. It's a genuine shift in how software gets written — a tool that meets developers exactly where they work and does exactly what they need.

If you write code for a living, you owe it to yourself to spend a week with it. Not an afternoon. A week. Because the first day, you'll think it's cool. By the fifth day, you won't be able to imagine working without it.

And that's not hype. That's just what happens when AI actually gets the interface right.

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