codesandbox.io

What is CodeSandbox?

CodeSandbox is a cloud development platform for writing, running and sharing code in the browser. Instead of installing a local toolchain, you work inside a hosted environment (a "sandbox") that can be spun up quickly and reached from any device. It is used both by individual developers for prototyping and learning, and by teams that need many isolated environments at once.

The current page leans heavily toward the programmatic side: the CodeSandbox SDK creates isolated sandboxes that can execute code on demand, aimed at AI agents, code playgrounds and secure code interpretation. Those environments run in isolation, can be hibernated and resumed with snapshots, and are designed to scale to many concurrent VMs. That matters if you want to run untrusted or machine-generated code without exposing your own machine.

Common ways people use it

• Prototyping: start from a template for a popular framework and get a running project without local setup.
• Learning and experimenting: try a framework or library in a throwaway environment.
• Embedded playgrounds: Sandpack puts live coding into documentation, tutorials or Storybook stories.
• AI agents and evaluation: give an agent a sandbox to execute and test generated code, run agents in parallel, or fork environments to compare approaches.
• Teaching and onboarding: hand each developer or student their own environment so work does not collide.

How the pieces differ

A practical next step: if you just want to try a framework, open a template and start coding. If you need code execution driven by your own application or an AI agent, look at the SDK and check whether its isolation, snapshot/resume and hibernation behaviour fit your workload before committing.

How do I use CodeSandbox to create a sandbox for my AI agent?

Use CodeSandbox's SDK and API to spin up isolated cloud sandboxes that your AI agent can run code in. The platform is built for programmatic creation of environments, so you call the API rather than clicking through the editor UI. Each sandbox runs in its own isolated microVM, which means untrusted or generated code executes without touching your own system.

Typical workflow

1. Get API access from your CodeSandbox account (the SDK is the programmatic path described on the site).
2. From your agent's backend, call the API to create a sandbox, optionally from a template matching your stack.
3. Pass the agent's generated code into that sandbox and execute it.
4. Read results back through the API, then let the sandbox hibernate or be decommissioned.

Why this fits AI agents specifically

• Parallelism without interference. You can run multiple agents in parallel, each in its own sandbox.
• Forking for A/B tests. The site notes a forking mechanism, so you can branch the same environment and compare agent behaviors.
• Snapshots and resume. Sandboxes retain context after inactivity via snapshots, so an agent can pick up where it left off.
• Fast startup. MicroVM provisioning, cloning and snapshot restore are described as happening within about 2 seconds, which matters when an agent needs a fresh environment per request.
• Hibernation control. You can set how long a sandbox idles before auto-hibernating, which helps manage cost and resource use.

Practical decision criteria

A concrete scenario

Suppose you're building a coding assistant that writes and tests Python snippets. Your backend receives a prompt, calls the CodeSandbox API to create a sandbox, injects the generated code, runs it, returns the output to the user, then lets the sandbox hibernate. If the user follows up an hour later, the snapshot lets you resume in the same environment instead of rebuilding it.

For setup details, API references and template options, start with the official docs at CodeSandbox.

Can I use CodeSandbox to run untrusted code safely?

Yes. CodeSandbox is explicitly designed to run untrusted code in isolated environments, so it is a reasonable fit when you need to execute code you did not write or cannot fully trust.

How the isolation works

According to CodeSandbox's own product description, every environment runs in isolation, so untrusted code can execute without affecting your system. The platform describes a microVM infrastructure that can spin up, clone and restore sandboxes quickly, and it states that environments can be hibernated and later resumed from snapshots without losing state. For untrusted-code use cases, that combination matters: isolation limits blast radius, and snapshots let you reset to a known-good state instead of rebuilding from scratch.

Where it fits

• AI agents and code generation: CodeSandbox positions its SDK for agents that need to resolve prompts by executing generated code, including running multiple agents in parallel without interference.
• Code interpretation and evaluation: The stated use case is running untrusted code to interpret it, or running evaluations against generated code, without exposing your own machine.
• Classrooms and per-developer environments: One sandbox per student or developer, each isolated from the others.
• Embedded playgrounds: Sandpack and the Storybook integration target live coding in the browser, which is a lighter-weight form of untrusted execution than a full VM.

Trade-offs to weigh

Isolation protects your host, but it does not automatically make everything safe. You still need to think about what the sandbox itself can reach: network access, secrets, mounted credentials and any data the code can read. A sandbox that can call arbitrary endpoints or read an injected API key is isolated from your laptop but not from your infrastructure. Decide up front whether the untrusted code needs network egress at all, and keep secrets out of the environment unless the task genuinely requires them.

There is also a cost and latency dimension. Spinning up a fresh VM per execution is safer than reusing a warm one, but it is heavier. If you are running thousands of short snippets, measure startup time and resource use against your budget rather than assuming the fastest path is the cheapest.

A practical next step

Start with one narrow task: a single endpoint that accepts a snippet, runs it in a fresh sandbox with no secrets and restricted network access, returns stdout, then destroys the environment. Confirm the code cannot reach anything you care about before widening what it is allowed to do. If you want a lighter option for browser-only demos, look at CodeSandbox's Sandpack path; for server-side execution of generated code, the SDK path is the closer match.

What are the pricing options for CodeSandbox?

CodeSandbox does not publish a simple, fixed set of pricing options on the page summarized here. The page shows a Pricing link, but no specific tiers, prices, or feature limits are included in the evidence. CodeSandbox describes itself as a cloud development platform and now highlights its SDK for programmatically spinning up isolated sandboxes, especially for AI agents and code playgrounds. That suggests pricing is likely tied to usage or team needs rather than a single consumer plan.

For the current options, check the official pricing page: CodeSandbox Pricing.

If you are evaluating it, decide based on what you need:

• Individual prototyping or learning: Start with the free or entry-level experience, then check whether your usage fits within published limits.
• AI agents or automated code execution: Focus on the SDK and sandbox usage model, since CodeSandbox emphasizes isolated environments, snapshots, and scale.
• Teams or classrooms: Look for per-developer or per-environment provisioning, because the page describes creating a sandbox for each developer or student.
• Untrusted code: Prioritize isolation and hibernation controls, since CodeSandbox highlights secure, isolated environments and customizable hibernation.

A practical next step is to open the pricing page, compare the plan limits against your expected number of concurrent sandboxes, and contact sales if your use case involves large-scale or custom provisioning.

How does CodeSandbox compare to local development environments for team collaboration?

CodeSandbox shifts collaboration from "share a repo and hope everyone's machine matches" to "share a running environment." Its page evidence describes sandboxes that run isolated, can be resumed after inactivity via snapshots, and can be spun up, cloned and restored within about two seconds. That matters most when teammates, reviewers or students need to see the same behavior without setup drift.

Where a cloud sandbox wins

• Onboarding and review: A teammate opens the same environment instead of reproducing a local setup. The page frames this as creating a sandbox per developer or student and running many in parallel without interference.
• Untrusted or generated code: The page emphasizes isolation and running untrusted code safely, plus using sandboxes for code interpretation and evals. That is a poor fit for a laptop you care about.
• Parallel experimentation: Forking is described for A/B testing agents, and parallel agents can run without interfering. Locally, port conflicts, shared caches and conflicting dependencies make this fiddly.
• Device independence: The source describes coding from any device, so a tablet or borrowed machine can be enough for a quick fix or review.
• Persistence: Snapshots and continuous context mean an idle sandbox can be resumed rather than rebuilt.

Where local still wins

• Latency and offline work: Local editors and test runners respond instantly and work without a connection; a cloud environment depends on network and service availability.
• Full control of hardware and secrets: Native toolchains, GPUs, local databases, VPN access and private credentials are simpler to manage on your own machine.
• Cost predictability at small scale: A single developer prototyping locally avoids usage-based cloud costs, though the page's pricing link exists for a reason.

A practical decision rule

Next step: pick one recurring friction point, such as "reviewer can't reproduce my bug," and run that single workflow in a CodeSandbox environment for a week. Compare setup time, reproduction rate and how often you fall back to local. If the fallbacks are rare, expand; if they cluster around native tooling or offline work, keep local as the primary and use the cloud for sharing and untrusted execution. CodeSandbox is at CodeSandbox.

What templates and frameworks are available on CodeSandbox?

CodeSandbox offers a template universe so you can start with a stack you already know rather than configuring a blank environment. The templates are starting points for sandboxes—browser-based coding environments—and they cover the usual front-end, back-end and full-stack choices, with the option to bring your own dependencies afterward.

What the templates cover

The page highlights a "Template universe" and "Start with your favorite stack," which signals that templates exist for common frameworks and project types. In practice, that means you can pick a template matching your framework and get a running project immediately, then edit files and see results in the browser.

Beyond standalone templates, CodeSandbox also provides:

• Sandpack for embedding live coding in your own site
• Storybook integration to give each story a code playground
• Code in Sandboxes for quick prototyping
• Learn & Experiment for trying frameworks and new tools

How to choose

If you are evaluating it for a specific project, open the Templates page and filter by your framework; if your stack is not listed, start from the closest template and add dependencies. For teams, the SDK route matters more than templates because you can programmatically spin up isolated sandboxes for each developer or student.

A practical next step: pick one template, run it, then check whether the environment resumes cleanly after a period of inactivity—the page notes snapshots and auto-resume within seconds, which is the feature that separates a quick demo from daily use. For context on the broader ecosystem, see GitHub for template repositories and Storybook if your work centers on component stories.