What Is Claude Code?
Claude Code is Anthropic's command-line AI development tool. Unlike Cursor or GitHub Copilot — which live inside your editor — Claude Code runs in your terminal. You describe what you want in plain English, and it reads your codebase, writes code, runs commands, creates files, and manages entire workflows autonomously.
It's not autocomplete. It's not inline suggestions. It's closer to having a senior developer sitting next to you who can read your entire project and execute on complex, multi-step tasks without hand-holding.
We've been using it daily on real client projects for months. Here's what we've found.
Getting Started
Setup is straightforward. Install it globally via npm, authenticate with your Anthropic account, and you're running. There's no editor plugin to configure, no settings to tweak, no keybindings to learn. You open your terminal in a project directory and start talking to it.
npm install -g @anthropic-ai/claude-code
claude
That's it. It picks up context from your working directory — your file structure, your package.json, your git history, any CLAUDE.md instructions you've written. First interaction to productive output takes about 30 seconds.
What It Does Well
Codebase Awareness
This is the single biggest differentiator. Claude Code doesn't just see the file you have open — it can explore your entire project. Ask it to refactor how your app handles authentication and it will read your routes, your middleware, your database schema, and your frontend components before making a single change. It greps, it globs, it reads files across directories. It understands the relationships between things.
In practice, this means you can give it high-level instructions like "shift all the copy on this site from first-person to third-person" and it will find every page, every component, every meta description, and update them all consistently. With an inline autocomplete tool, you'd be doing that file by file.
Multi-Step Task Execution
Where Claude Code really separates itself is on tasks that involve many coordinated changes. A few real examples from our recent work:
- "Add a new service tier to the services page" — it updated the data file, checked the TypeScript types, verified the CSS grid would accommodate a new card, and added staggered animation support for the 5th item
- "Create a thank-you page for conversion tracking and redirect the contact form there" — it created the page component, added the route, imported
useNavigate, modified the form submission handler, and removed the now-unnecessary inline success message - "Update the blog to match the main site rebrand" — it cloned a separate repository, identified every file that needed changes, updated copy across layouts, about pages, author components, and footer content, then committed and pushed
Each of these would take 15-30 minutes of manual work. Claude Code handled them in 1-2 minutes each, and the output was correct on the first pass more often than not.
Tool Use and Terminal Integration
Claude Code doesn't just write code — it runs it. It will execute your build to check for errors, run your test suite, install dependencies, and use git. When it makes a change that breaks the build, it reads the error output and fixes it before you even see the problem.
This creates a tight feedback loop that IDE-based tools can't match. Instead of suggesting code and hoping it compiles, Claude Code verifies its own work.
The CLAUDE.md System
You can create a CLAUDE.md file in your project root with instructions — coding conventions, architectural decisions, things to avoid. Claude Code reads this at the start of every session. It's like onboarding a new developer except the onboarding sticks every single time.
Our CLAUDE.md includes things like "no backend, contact form uses Web3Forms" and "prefer named exports." Claude Code respects these consistently. It's a small feature that has an outsized impact on output quality.
Memory Across Sessions
Claude Code has a persistent memory system that carries context between conversations. It remembers project decisions, user preferences, and feedback you've given it. If you tell it "don't add trailing summaries to your responses," it saves that and respects it next time. If it learns you're running a Google Ads campaign alongside development work, it retains that context.
This is genuinely useful for ongoing projects. You don't start from zero every session.
Where It Falls Short
No Visual Context
Claude Code works in the terminal. It can't see your browser, your design mockups, or your running application. If something "looks off" — spacing is wrong, colors don't match, a layout breaks at a certain viewport — you need to describe the problem in words. IDE-based tools with visual preview integrations have an advantage here.
You can share screenshots (it can read image files), but the workflow is clunkier than pointing at something on screen and saying "fix this."
Token Usage on Large Codebases
Claude Code's strength — reading your whole codebase — is also its cost. On large projects, it can consume significant tokens just understanding the context before making a single change. For small, focused edits, this overhead isn't always worth it. Sometimes you just want to rename a variable, and you don't need an AI to read 50 files first.
Learning the Right Level of Specificity
There's a calibration period. Give Claude Code too little context and it might make assumptions you don't want. Give it too much and you're writing a novel when you could have just made the change yourself. Learning to communicate at the right level — specific enough to get the right output, brief enough to save time — takes practice.
The sweet spot we've found: describe the what and the why, let it figure out the how. "Add a CTA on the home page for AI automation that links to the new landing page" works better than specifying every CSS class and div structure.
Approval Workflow Can Slow You Down
By default, Claude Code asks permission before writing files, running commands, and making changes. This is good for safety but can slow down rapid iteration. You can configure permissions to auto-approve certain actions, but finding the right balance between safety and speed takes some tuning.
No Real-Time Collaboration
It's a single-player tool. There's no way to have Claude Code work on one part of your project while you work on another in real-time. It takes full control of the terminal session. For pair programming workflows where both humans and AI are actively editing, an IDE integration might be smoother.
How It Compares
We haven't done deep daily work with Cursor or Windsurf, so we won't pretend to offer a head-to-head benchmark. But the philosophical difference is clear:
IDE-based tools (Cursor, Copilot, Windsurf) are designed to augment your editing experience. They live where you already work. They suggest code as you type, they can refactor highlighted blocks, and they integrate with your visual workflow. They're at their best when you're actively writing code and want intelligent assistance in real time.
Claude Code is designed to execute tasks autonomously. You describe what you want, step away, and come back to a completed result. It's at its best when the task involves multiple files, requires understanding project context, or would take you 20 minutes of mechanical work to do manually.
They solve different problems. If you're writing a complex algorithm and want smart autocomplete, an IDE tool is probably better. If you need to scaffold a new feature across your full stack, add a landing page with routing and SEO, or refactor a pattern across 15 files — Claude Code is faster.
Many developers are using both: an AI-powered editor for moment-to-moment coding, and Claude Code for bigger tasks. That's probably the most productive setup.
Who Should Use It
Great for:
- Freelancers and small teams managing multiple projects
- Full-stack work where changes span frontend, backend, and config
- Developers comfortable in the terminal
- Projects with clear conventions (CLAUDE.md makes a huge difference)
- Repetitive multi-file changes (refactors, rebrands, migrations)
- Prototyping and scaffolding new features quickly
Less ideal for:
- Developers who prefer a fully visual workflow
- Highly specialized work where you need to see output in real-time (CSS fine-tuning, animation work)
- Teams that need real-time collaborative AI assistance
- Quick one-line edits where the overhead isn't justified
Pricing
Claude Code uses Anthropic's API pricing based on token usage. There's no flat monthly fee — you pay for what you use. A light session might cost a few cents; a heavy session involving deep codebase exploration and multiple large file edits can cost a few dollars.
For context, a full workday of active Claude Code usage on client projects typically runs us between $5 and $15 depending on project complexity and how much codebase reading is involved. Compared to the time saved, the ROI is hard to argue with.
Anthropic also offers a Max subscription plan that includes Claude Code usage with higher rate limits, which may be more predictable for teams that use it heavily.
Our Workflow
Here's how Claude Code fits into our daily process:
- Start of day: Open the project, Claude Code picks up context from CLAUDE.md and memory
- Feature work: Describe the feature at a high level, let Claude Code scaffold it, review the output, iterate
- Bug fixes: Paste the error or describe the behavior, Claude Code traces through the code and fixes it
- Refactors: Describe the pattern change, Claude Code applies it across the codebase
- Git workflow: Claude Code stages, commits with clear messages, and pushes when asked
- Cross-project work: We've had it clone separate repos, make changes, commit, and push — all from one session
The biggest mindset shift is moving from "I write code and AI helps" to "I describe outcomes and AI executes." Once you make that shift, the speed improvement is dramatic.
Bottom Line
Claude Code is the most capable AI development tool we've used. Not because it writes the best single line of code — that's arguably a wash across the top AI models — but because it understands entire projects, executes multi-step tasks autonomously, and verifies its own work.
It's not replacing our expertise. We still make the architectural decisions, review every change, and direct the work. But it's eliminated hours of mechanical coding — the file creation, the boilerplate, the find-and-replace-across-20-files work that used to eat up afternoons.
If you're a developer who spends time on tasks you know how to do but that just take time to do, Claude Code is worth trying. The terminal-first approach isn't for everyone, but for those who click with it, it's hard to go back.