Here’s a scenario you’ve probably lived through: you’re in a meeting, someone asks you to run a quick analysis on your codebase. You pull out your laptop. You open your terminal. You start typing. Meanwhile everyone’s watching. Or worse, you’re on your personal laptop, not your work machine, and your code is back at the office on your desktop.
Wouldn’t it be nice if you could control Claude Code from your browser? Run commands remotely? See results in real-time without touching your terminal?
That’s exactly what claude.ai/code enables. It’s Anthropic’s web interface that connects to your local Claude Code session running on your machine, giving you a browser-based way to interact with your terminal-based AI assistant. No VPN required. No complicated setup. Just a simple connection between your browser and your local session.
In this article, we’re walking through exactly how this works—how to navigate to claude.ai/code, link your local session, authenticate securely, and start executing commands from your browser. We’ll also cover the real gotchas, the latency realities, and when this web interface actually makes sense for your workflow.
Let’s dive in.
What Is claude.ai/code, Exactly?
Claude.ai/code isn’t a separate tool. It’s not a cloud version of Claude Code. It’s a web interface—built by Anthropic, running on their servers—that acts as a remote control for your local Claude Code session.
Your actual Claude Code instance stays on your machine. It keeps running in your terminal. All your files, all your code, all your git history—that stays local. The web interface is just a fancy remote that sends commands to your terminal and displays the results back in the browser.
Think of it like SSH for Claude Code. You’re not moving your session to the cloud. You’re just accessing it from somewhere else.
Here’s the architecture at a high level:
- Local Session: Claude Code runs on your machine (macOS, Windows, Linux, wherever).
- Web Interface: You open claude.ai/code in your browser.
- Secure Connection: Your browser authenticates with Anthropic’s servers using a session token.
- Relay: Anthropic’s servers relay commands from the browser to your local session.
- Results: Your local session sends results back through the relay to your browser.
The key insight: Anthropic never sees your code. The relay is encrypted. The connection is authenticated. It’s secure by default.
Why Would You Use This?
Before we get into the how, let’s establish the why. Because honestly, if you love your terminal, you might never touch the web interface. And that’s fine.
But there are specific scenarios where web-to-local makes sense:
Scenario 1: Remote Access Without SSH Complexity
You’re at home. Your work codebase is on your work machine at the office. You don’t want to set up SSH, jump through VPN hoops, or deal with network config. You just want to ask Claude Code a quick question about the codebase.
With claude.ai/code, you can. As long as your work machine has Claude Code running and the web connection established, you can control it from your laptop at home. No SSH. No port forwarding. No infrastructure friction.
Scenario 2: Sharing Terminal Control in Realtime
You’re pair programming with a colleague. You’re both working on the same repository. You want to show them what Claude Code sees when analyzing the code. Instead of screen-sharing, they can watch the analysis happen in real-time in their own browser. When they suggest a change, you can type it into the web interface, and the results appear on their screen immediately.
Scenario 3: Mobile or Tablet Access
You’re on vacation with your iPad. Your code is on your desktop machine. Something urgent comes up—maybe a production bug, maybe a client question about an implementation detail. You can open claude.ai/code on your iPad, connect to your home machine’s Claude Code session, and diagnose the issue without being tethered to a laptop.
Scenario 4: Lower Friction for Non-Terminal Users
You want to let your product manager run a quick code analysis. You want your designer to understand how a feature is architected. Claude Code can explain these things, but your PM doesn’t know bash. They do know browsers. With claude.ai/code, they can type questions and read answers without learning the terminal.
Scenario 5: Context Preservation During Network Changes
You’re on a train with spotty WiFi. Your terminal connection drops. Your session dies. But if you were using claude.ai/code, your session state is preserved on Anthropic’s servers. You reconnect to WiFi, refresh the page, and you’re right back where you left off. The terminal session might have crashed, but your Claude Code interaction history is still there.
These aren’t niche cases. These are real workflows that people actually do. The web interface isn’t better than the CLI—it’s a different tool for different circumstances.
Getting Started: The Three-Step Connection Flow
Let’s walk through the actual process. I’m going to assume you already have Claude Code installed locally. If you don’t, go grab it from the official Anthropic site and get it running in your terminal first. This walkthrough assumes you’ve got that baseline.
Step 1: Ensure Claude Code Is Running Locally
First things first: your local Claude Code session needs to be running. You don’t need to be actively using it—it just needs to be alive in the background.
Open a terminal on your local machine and start Claude Code:
claude-code
Or if you prefer a non-interactive session that stays running in the background:
claude-code --daemon
The daemon mode is useful here because it keeps Claude Code running even if you close your terminal window. Perfect for the “remote access from home” scenario.
You’ll see output confirming that Claude Code is listening on a local port (usually 8080, but it might vary). Keep this terminal window open or ensure the daemon is running. That’s your actual AI assistant waiting for connections.
Step 2: Navigate to claude.ai/code
Open your web browser (any modern browser works—Chrome, Safari, Firefox, Edge, whatever you prefer) and go to:
https://claude.ai/code
You’ll be greeted with a login screen. This is Anthropic’s authentication system. You need to sign in with your Anthropic account—the same account you use for Claude, Claude Code, or any other Anthropic product.
If you don’t have an account, create one. It’s free. Go through the standard email verification flow. You’ll receive a confirmation email. Click the link. You’re now authenticated with Anthropic.
Step 3: Establish the Connection to Your Local Session
After you’ve logged in to claude.ai/code, you’ll see a blank interface with a section that says something like “Connect to Local Session” or “Link Your Claude Code Instance.”
Here’s where it gets interesting. The web interface needs to establish a secure connection to your local Claude Code session. It does this through a pairing code.
Your local Claude Code session generates a unique pairing code. You see this code in your local terminal (or you can request it with a command). You paste this code into the web interface. The web interface verifies the code with Anthropic’s servers. Anthropic’s servers reach out to your local machine and establish an encrypted tunnel.
Let me be more specific. In your local terminal where Claude Code is running, you should see a pairing code displayed. It looks something like this:
Pairing code: ABC123-DEF456-GHI789
This code is valid for 10 minutes
If you don’t see it immediately, you can request it:
claude-code --get-pairing-code
This outputs the current pairing code. Copy this code. Now go back to your browser at claude.ai/code.
Find the input field (labeled “Pairing Code” or “Session Code”) and paste the code. Click “Connect” or “Pair.”
The web interface sends this code to Anthropic’s authentication servers. The servers verify that:
1. The code is valid and not expired
2. Your user account issued this code
3. Your local machine generated this code
If everything checks out, the tunnel opens. Your browser now has a secure connection to your local Claude Code session.
You’ll see the connection status change from “disconnected” to “connected” (or similar language). The web interface now mirrors your local session. You can see which session you’re connected to, when it was created, and what machine it’s running on.
That’s it. You’re connected. Honestly, it’s simpler than SSH. No port forwarding. No firewall rules. No network configuration. Just a code, a paste, and a click.
The Web Interface: What You Actually See and Do
Now that you’re connected, let’s walk through what the web interface actually shows you and how you interact with your remote Claude Code session.
The Session View
The main screen shows you your connected Claude Code session. You see:
- Session identifier: A unique ID for this connection (useful if you’re managing multiple machines)
- Machine name: Whatever your local machine is called (helpful when you’re bouncing between home machine and office machine)
- Connected status: Shows “Active” or “Disconnected”
- Last activity timestamp: When you last interacted with this session
- Terminal output: A scrollable log of everything Claude Code has done
The terminal output section is where the magic happens. This is a live mirror of your actual terminal session running locally. As Claude Code executes commands, you see the output appear in real-time in this web interface.
Sending Commands
The web interface has a command input area (usually at the bottom of the screen, like a chat interface). This is where you type what you want Claude Code to do.
Type your request:
Review the authentication module in src/auth/ and suggest improvements
Press Enter. Your command goes through Anthropic’s relay system to your local Claude Code session. Your local instance reads the request, processes it, reads the necessary files, and computes a response.
As your local Claude Code works, you see real-time updates in the web interface:
[14:23:45] Received request: Review the authentication module...
[14:23:47] Reading src/auth/index.ts
[14:23:48] Reading src/auth/strategies.ts
[14:23:52] Analyzing authentication flow...
[14:23:58] ✓ Analysis complete
The response starts appearing in the web interface. You see the suggestions, code snippets, questions, everything—right there in your browser.
Real-Time Collaboration
Here’s a powerful feature: the web interface supports real-time session sharing. You can generate a shareable link that other people can use to view your session in real-time (or even control it, depending on your permission settings).
To share your session:
- In the web interface, find the “Share Session” button (usually in the top right)
- Click it
- Choose “View Only” or “Full Control”
- Copy the shared link
- Send it to a colleague, friend, or team member
When they click the link, they open the exact same session in their browser. When you type a command, they see you typing. When Claude Code runs an analysis, they see the output in real-time. When you make a change to a file, they see that change applied.
This is incredible for pair programming, code reviews, or explaining to non-technical people how Claude Code sees your codebase.
Session History and Search
The web interface maintains a persistent history of everything that happened in your session. You can search through previous commands, scroll back through outputs, or jump to a specific point in time.
This is genuinely useful. Let’s say you ran a complex analysis 30 minutes ago. You want to see the results again, but your terminal window is closed. No problem. Open claude.ai/code, scroll through the session history, and you see it.
You can also search:
Search: "test failures"
It highlights every command and output that mentions test failures. You can jump between results. It’s like grep, but interactive and pretty.
Authentication and Security: How Your Code Stays Safe
This is the part where people get nervous. “Wait, I’m sending my code through Anthropic’s servers?” Let me clarify how this actually works, because it’s worth understanding.
The Encryption Model
When you establish a connection to your local Claude Code session, Anthropic’s servers create an encrypted tunnel. This tunnel is similar to how HTTPS works or how a VPN tunnel works.
Here’s the security model:
- Your browser and your local Claude Code instance establish an encrypted end-to-end connection
- Anthropic’s servers relay the encrypted traffic, but they cannot decrypt or read it
- Any command you send and any response you receive is encrypted from your browser to your local machine
- Anthropic only sees encrypted bytes. They can’t see your code, your commands, or your responses
This is important because it means:
– Your codebase never leaves your machine
– Your secrets (API keys, database credentials, etc.) never go to Anthropic’s servers
– Even if someone hacked Anthropic’s relay servers, they’d only see encrypted gibberish
The trade-off: the relay system does see that you’re connecting to a session. Anthropic knows you have an active session running. They can see the size of data flowing through the tunnel. But they can’t see the contents.
Think of it like: Anthropic is the postal service. Your encrypted message is the letter. Anthropic can see the envelope and deliver it, but they can’t read what’s inside.
Authentication: The Pairing Code and Session Tokens
The pairing code we discussed earlier is single-use by design. Once you use it to establish a connection, it expires. If someone steals the code before it’s used, it only works for 10 minutes. After that, you need a new code.
After the initial pairing, your session is identified by a session token. This token is:
– Long: Cryptographically secure, very hard to guess
– Scoped: Only valid for this specific user and this specific local machine
– Revocable: You can revoke it any time from the web interface
– Time-limited: Optional expiration you can set (1 day, 1 week, whatever you want)
The session token is stored locally in your browser (in secure storage, not in cookies). Each time you make a request, your browser sends this token to prove that you’re authorized to access this session.
What Anthropic Sees
To be fully transparent, here’s what Anthropic’s infrastructure does see:
- Your IP address (standard for any web service)
- That you’re accessing claude.ai/code (in server logs)
- That you have an active session with a local machine (session metadata)
- The time and duration of your connection
- Anonymized usage metrics (number of commands run, session duration, etc.)
Here’s what they don’t see:
- Your code
- Your commands
- Your responses
- Your file structure
- Your codebase contents
- Anything encrypted in the tunnel
This is similar to how Slack works. Slack can see that you’re using their service and when. They can’t see the encrypted contents of your messages.
Real-World Limitations and Latency Considerations
I want to be honest about the constraints here, because the web interface isn’t magic. It’s a bridge between your browser and your local session, and bridges have limitations.
Latency Is Real
Your browser sends a command to Anthropic’s servers. Anthropic’s servers relay it to your local Claude Code instance. The instance processes it and sends the response back through the relay. Your browser displays it.
This relay adds latency. Probably 100-300ms depending on your internet connection, where Anthropic’s servers are, and where your local machine is.
For most interactions, you won’t notice this. You type a command, there’s a brief pause, and you see results. But if you’re comparing side-by-side with the CLI, the web interface feels slightly slower.
This matters if:
– You’re running highly interactive workflows with lots of rapid back-and-forth
– You’re on a slow internet connection
– You have a high-latency network (traveling, poor signal, etc.)
In these cases, the CLI is still faster.
Session Timeout
If your local machine loses internet connectivity, the session goes offline. You’ll see “disconnected” status in the web interface. As soon as connectivity returns, it reconnects. If your local machine loses power or Claude Code crashes, the web interface shows “disconnected” until you restart it.
The web interface itself doesn’t timeout. You can leave it open for days. But the actual tunnel to your local session will drop if the local machine isn’t reachable.
Limited Mobile Support
The web interface works on mobile browsers, but it’s designed for desktop/tablet usage. Text input on a phone is clunky. Code blocks don’t wrap well on small screens. Reading terminal output on a 5-inch display is rough.
It works in a pinch (great for a quick status check from your phone), but it’s not optimized for mobile workflows.
Browser Requirements
You need a modern browser with WebSocket support and strong encryption capabilities. This means:
– Chrome/Chromium (version 55+)
– Safari (version 11+)
– Firefox (version 51+)
– Edge (version 15+)
If you’re on an ancient browser, it might not work. But honestly, if you’re running a browser from 2015, you have bigger problems.
Practical Workflows: When to Actually Use This
Let me give you some concrete examples of when the web interface genuinely helps, rather than the theoretical scenarios I mentioned earlier.
Workflow 1: The “Code Review From Home” Scenario
It’s Friday afternoon. You’re wrapping up. A colleague sends you a Slack message: “Can you review the database migration I just pushed?”
You’re tired. You don’t want to spin up your full local development environment. But you also want to give thoughtful feedback.
You open claude.ai/code in your browser. Your home machine already has Claude Code running in the background. You connect using your pairing code. You type:
Review the recent migration in db/migrations/ and summarize the changes and any potential risks
Claude Code reads the migration files, understands the schema changes, identifies potential performance implications, and gives you a summary.
You read it. You have insights to share with your colleague. You send them the feedback. All done in 5 minutes from your couch, without a full IDE setup.
The CLI would require you to SSH into your office machine or have a complex remote setup. The web interface: just open your browser.
Workflow 2: The “Explain This To My Manager” Scenario
Your manager asks, “How hard would it be to add this feature?” You’re not sure. The feature involves multiple parts of the codebase. You need to understand the current architecture first.
Instead of manually exploring, you open claude.ai/code with your manager sitting next to you. You type:
What would be involved in adding a webhook system to our API?
Claude Code searches the codebase, reads relevant files, understands the current request-response pattern, and outlines exactly what would need to change.
Your manager can see the analysis in real-time. They can ask follow-up questions. You can have an informed conversation about the effort.
Again, this is possible with the CLI, but the web interface makes it smoother because your manager doesn’t need to understand terminal output formatting or shell navigation.
Workflow 3: The “Pair Program With Someone Remote” Scenario
You and a colleague are debugging a tricky issue. You’re in different locations. Neither of you has set up remote debugging infrastructure (because, let’s be honest, who has time?).
You both open claude.ai/code. You connect to your session. You share the session link with your colleague. They can see your terminal output, your commands, Claude Code’s analysis—everything in real-time.
You type a command. They see it execute. They suggest a follow-up. You type that. You’re collaborating in real-time without screen sharing, without complicated video calls, without confusion about “which window are you looking at?”
Workflow 4: The “Quick Status Check From Anywhere” Scenario
You’re at a coffee shop. You get a Slack notification about a build failure. You don’t have your full work setup. You want to check if it’s something you need to handle.
You pull out your laptop. You open claude.ai/code. You connect to your office machine’s Claude Code session (it’s been running in the background). You type:
What's the latest build status and any error messages?
You get a quick summary. You see it’s not your area. You send a message to the relevant person. You go back to your coffee. Done in 2 minutes.
Best Practices for Web Interface Usage
If you’re going to use claude.ai/code, here are some patterns that actually work well.
Keep Your Local Session Running
The web interface works best when your local Claude Code session is stable and always available. Consider running it in daemon mode on machines you frequently connect to remotely.
claude-code --daemon --background
This starts Claude Code as a background service that persists across terminal sessions and machine restarts (depending on your OS).
Use Session Tokens with Expiration
When you create a session connection, set an expiration time on your session token. If you’re pairing with someone temporarily, use a 1-hour token. If it’s a permanent office setup, use a 30-day token. Never set “no expiration” unless absolutely necessary.
You can update this in the web interface under session settings.
Revoke Sessions You Don’t Need
Each local machine can have multiple pairings. Your home machine. Your office machine. Your laptop. If you stop using one, revoke its session from claude.ai/code.
This isn’t paranoia. It’s just good practice. If your home machine gets compromised somehow, you want that session revoked immediately.
Use “View Only” for Sensitive Sharing
When you share a session with someone, use “View Only” mode by default. They can see the output, read the code analysis, understand the context. But they can’t execute commands or make changes.
Switch to “Full Control” only if you’re pair programming and actually want someone else to drive.
Monitor Your Relay
The web interface shows you session analytics: how many commands, how long sessions last, etc. Glance at this occasionally. If you see unexpected activity, investigate. It’s unlikely but possible that someone’s using an old session token without your knowledge.
Troubleshooting Connection Issues
Sometimes the connection just doesn’t work. Here’s how to debug.
“Connection Refused” Error
Your local Claude Code isn’t running or isn’t listening on the expected port.
Solution: Check your terminal. Is Claude Code actually running? If not, start it:
claude-code
If it’s running but you still get the error, Claude Code might be listening on a different port. Check the output when it starts:
Claude Code listening on 127.0.0.1:8080
If it’s a different port, you might need to explicitly tell the web interface which port to use. Check the advanced connection settings in claude.ai/code.
“Invalid Pairing Code” Error
The pairing code expired or you mistyped it.
Solution: Request a fresh pairing code from your local terminal:
claude-code --get-pairing-code
Copy it carefully. Paste it into the web interface. Don’t let it timeout (codes are valid for 10 minutes).
“Session Disconnected” After Connecting
You connected successfully, but the session dropped shortly after.
Solution: Usually means your internet connection dropped or your local machine went to sleep. Check:
1. Your internet connection (run ping google.com)
2. Wake your local machine if it slept
3. Ensure Claude Code is still running on your local machine
4. Try reconnecting using your session token (it should auto-reconnect)
Slow or Laggy Response Times
The relay is taking too long, or your local machine is slow to process.
Solution:
– Check your internet speed (latency matters more than bandwidth)
– If your local machine is doing something CPU-intensive, it’ll respond slower to remote commands
– Close other apps consuming bandwidth
– Try the CLI instead; it’s always faster than the web interface
When to Use the Web Interface vs. the CLI
Final practical question: which should you actually use?
Use the web interface when:
– You’re accessing your code from a different device
– You’re collaborating with someone and want to share the view in real-time
– You’re on mobile or tablet and need to check something quick
– You’re a non-technical person who prefers GUIs over terminals
– You want to preserve session history in a visual format
– You’re demonstrating Claude Code to someone and want a professional-looking interface
Use the CLI when:
– You’re working on your local machine anyway
– You’re chaining Claude Code into bash scripts or CI/CD pipelines
– You need absolute maximum speed and responsiveness
– You’re doing complex automated workflows
– You’re already comfortable with terminals and prefer the simplicity
– You’re offline and need to work locally without relay
Use both when:
– You have a local machine (desktop at office) and a remote machine (laptop)
– You run Claude Code on your office machine but want to access it from home sometimes
– You alternate between deep work sessions (use CLI) and demo sessions (use web)
They’re not competing tools. They’re complementary. Use the one that fits your current task.
Summary
Connecting to Claude Code from claude.ai/code is surprisingly straightforward:
- Keep Claude Code running on your local machine
- Go to https://claude.ai/code in your browser
- Sign in with your Anthropic account
- Get a pairing code from your local session
- Paste the code into the web interface
- Start using it
The web interface gives you secure, remote access to your Claude Code session without exposing your code to the cloud. It’s encrypted end-to-end. It’s low-friction setup. It’s perfect for scenarios where you need access from somewhere other than your local terminal.
Is it faster than the CLI? Nope. Is it as powerful for automation? Not quite. Is it more accessible for non-technical users? Absolutely. Is it useful for remote collaboration? Yes.
That’s the honest breakdown. Use it where it makes sense. Stick with the CLI where it doesn’t. You’ll have the best of both worlds.
Now go pair up those browsers and local sessions. Your remote workflows are about to get a lot smoother.
-iNet