What is Claude Code and how does it actually work
Claude Code runs in your terminal, reads your files, and executes tasks through natural language. Here is what that actually looks like in practice, including the parts most demos skip.
What is Claude Code and how does it actually work
Most people who try Claude Code for the first time type a message the same way they would in ChatGPT and get a result they half-expected. Then they wonder what all the fuss is about.
The difference is not in what you type. It is in what the tool can do before it answers you.
Claude Code does not give you advice about your files. It reads them, edits them, and tells you what changed.
What Claude Code actually is
Claude Code is a command-line agent built by Anthropic. You run it in the terminal (the text window on your computer, sometimes called the command prompt or shell), give it an instruction, and it works through the task using the files in your current folder.
That last part is what separates it from a chat interface. When you ask Claude.ai a question, it knows nothing about your project unless you paste something in. Claude Code starts by reading your actual codebase, notes, or documents. It maps the structure, finds the relevant files, and then acts on them.
The GitHub repository crossed 125,000 stars in mid-2026. That is a signal about adoption, not a quality guarantee, but it tells you something about how quickly people moved from watching demos to actually installing it.
How it differs from ChatGPT and Claude.ai
A chatbot gives you text you can copy and use somewhere else. Claude Code gives you changes to files already on your computer.
Here is the practical difference. If you ask ChatGPT to refactor a function, it writes out a block of code you then have to find, copy, and paste into the right place yourself. If you ask Claude Code to do the same thing, it opens the file, makes the change, and shows you what it did before it asks you to confirm.
It can also chain tasks. You can ask it to find all the broken links in a folder, fix them, run the test suite, and summarise what changed. A chatbot does step one and stops. Claude Code works through the whole sequence.
It is not better than a chatbot for every task. If you want to brainstorm ideas, draft a cold email, or talk through a decision, a chat interface is faster. Claude Code earns its cost when the task involves real files, real commands, and a sequence of steps that would take you half an hour to do by hand.
What the terminal actually is
The terminal is a text window where you type instructions for your computer. No menus, no buttons. You type, the computer runs it, and the output appears on the next line.
For most people, that sounds harder than it is. After a few sessions the directness starts to feel natural. You can see exactly what is happening. There is no hidden interface state to worry about.
Claude Code lives inside this window. You install it once, navigate to a folder using the cd command, type claude to start a session, and describe what you want. The agent reads the files, plans the steps, runs them, and reports back.
What it takes to get a useful result
The model is not the bottleneck. Context is.
If you type fix the bug without saying which file, which function, or what the expected behaviour is, you will get a generic attempt that may or may not apply. The agent has to guess.
If you explain the task the way you would explain it to a capable colleague who has not worked in your folder before - which files matter, what the goal is, what constraints apply - you will get a targeted result and a clear explanation of what changed.
That habit transfers. Once you can brief Claude Code clearly, you can brief Kimi, Codex, and any other CLI agent the same way. The skill is the same across tools.
What it costs
Claude Code is not a standalone product. It runs on top of your Claude plan or API account. These prices were shown on Anthropic's official pricing page in June 2026:
Pro: $20 per month, or $17 billed annually. Includes Claude Code with a token budget suited to a few focused sessions a day.
Max 5x: $100 per month. Roughly five times the usage of Pro.
Max 20x: $200 per month. For heavier daily use.
API: Sonnet 4.6 costs $3 per million input tokens and $15 per million output tokens, pay-as-you-go.
The honest version: on the Pro plan, you can hit your limit in a single long session if you ask the agent to work through a large codebase without scoping the task first. This is one of the more common complaints from new users, and it is a real limitation.
The practical fix is to break work into smaller tasks, use a regular chat interface for the planning and research steps, and save Claude Code for execution. That approach stretches any plan significantly further.
Honest limitations
Claude Code is genuinely useful. It also has limitations worth knowing before you commit to a paid plan.
It uses tokens faster than you expect. Asking it to read a large codebase and rewrite multiple files in one session will exhaust your budget. Short, scoped tasks run much further.
It makes mistakes. The agent can misinterpret an ambiguous instruction, edit the wrong file, or miss an edge case. Reviewing its output before you accept changes is not optional. That review step is part of the workflow, not a safety net for rare failures. A practical routine is in how to review Claude Code output before you accept it.
Setup takes a few minutes. You need Node.js installed, a terminal you are comfortable navigating, and a Claude account. For someone who has never used the terminal before, the first session involves some configuration work.
It is not a substitute for understanding. If you accept every change without reading it, you will eventually accept something wrong. The tool works best when the person using it can tell whether the result makes sense.
Who this suits
Claude Code is a practical fit if you have files to work on and want to stop doing repetitive tasks by hand. That includes developers, but also marketers managing content folders, analysts cleaning up datasets, writers organising research notes, and anyone who works with a computer and finds themselves doing the same manual steps repeatedly.
It is not a fit if you want a general conversation tool, if you are not willing to review the output before using it, or if your budget does not stretch to $20 a month.
Frequently asked questions
Does Claude Code work on Windows? Yes. Claude Code runs on macOS, Linux, and Windows via WSL2. Windows setup takes a few extra steps to configure WSL2 if you have not done it before, but it works once that is in place.
Do I need to know how to code to use Claude Code? Not necessarily. Claude Code works on any text files, not only code. Many users run it on notes, reports, websites, and documents. The more you understand what the agent is doing, the better you can judge whether to accept its changes, but you do not need to be a developer to start.
How is Claude Code different from Cursor? Cursor is a code editor with AI built in. Claude Code is a terminal agent. Cursor wraps the experience in a familiar GUI. Claude Code gives you more direct control with less abstraction but requires you to be comfortable in the terminal. Neither is strictly better; they suit different working styles. I wrote a longer side-by-side in Claude Code vs Cursor.
Can I use Claude Code without a paid plan? You can access Claude Code through the API with a Console account, which is pay-as-you-go with no monthly fee. There is no free tier that includes Claude Code, though API costs can stay low if you scope tasks tightly.
What happens if it makes a mistake? The agent explains what it did before asking you to confirm. Keeping your work in a git repository is the standard safeguard: review the diff before you commit, and you can revert anything you do not want to keep.
Related reading
My verdict
Claude Code is not a chatbot with extra steps. It is an agent that reads your files, runs commands, and works through tasks that would otherwise take you a long time to do manually.
The constraint is not the tool. It is learning to brief it clearly enough that it works on your actual task rather than a generic version of it. That skill takes an afternoon to pick up and it transfers to every CLI agent you use after this one.