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CodeSandbox

CodeSandbox is a cloud development and code-execution platform — now part of Together AI — built around the Sandbox SDK and Firecracker microVMs with 2-second startup for AI agents and dev environments.

Starting atFree
Visit CodeSandbox →
💡

In Plain English

CodeSandbox is a cloud development and code-execution platform — now part of Together AI — built around the Sandbox SDK and Firecracker microVMs with 2-second startup for AI agents and dev environments.

OverviewFeaturesPricingGetting StartedUse CasesIntegrationsLimitationsFAQSecurityAlternatives

Overview

CodeSandbox, the cloud IDE that pioneered in-browser React prototyping, is now part of Together AI (announced banner: 'CodeSandbox is now part of Together AI! We have joined forces to launch CodeSandbox SDK and bring code interpretation to generative AI.'). The 2026 positioning leans hard into AI agent infrastructure: Sandbox SDK lets you programmatically spin up isolated dev environments for code interpretation, eval harnesses, and agent task execution; Sandpack provides live coding in the browser; and the classic Code in Sandboxes experience still ships for prototyping and learning. The microVM architecture (based on Firecracker) gives 2-second VM startup, snapshot-based resume after periods of inactivity, customizable hibernation, and 'millions of concurrent VMs' for AI agent workloads — including the ability to run agents in parallel without interference and fork sandboxes for A/B testing. The homepage cites templates, '0 million+ users,' '0+ repositories connected,' and '0.0 billion+ lines of code' (numbers obfuscated as variables in the static HTML). Pricing: a free tier exists ('Start for free'), but the public pricing page currently returns HTTP 403 to crawlers — confirm the current Pro/Enterprise pricing matrix on codesandbox.io/pricing in a real browser before quoting numbers to a customer. Compare with <a href="/tools/replit">Replit</a> for a full IDE + Agent, <a href="/tools/e2b">E2B</a> for an AI-agent-native code interpreter, <a href="/tools/daytona">Daytona</a> for self-hostable dev environments, and <a href="/tools/modal-labs">Modal Labs</a> for serverless Python compute.

🦞

Using with OpenClaw

▼

Use CodeSandbox as OpenClaw's code execution backend for secure sandboxed environments. Execute agent-generated code safely.

Use Case Example:

Run complex computations and code generation tasks through CodeSandbox while maintaining security isolation from the main OpenClaw process.

Learn about OpenClaw →
🎨

Vibe Coding Friendly?

▼
Difficulty:advanced

Complex infrastructure requiring security knowledge and environment management.

Learn about Vibe Coding →

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Editorial Review

CodeSandbox has matured from a frontend playground into a capable cloud development platform with unique strengths in environment branching and collaborative editing. The Sandbox SDK for AI integration positions it as a bridge between pure code execution platforms (E2B) and traditional cloud IDEs (Gitpod, GitHub Codespaces). Users praise the instant environments and real-time collaboration, while common complaints center on credit consumption on the free tier and browser editor limitations. The platform is best suited for teams that value fast environment startup, parallel experimentation via branching, and programmatic sandbox creation for AI agent products.

Key Features

Firecracker microVM infrastructure+

Every sandbox runs inside an AWS Firecracker microVM with its own kernel and isolated file system. Snapshots of the full VM state are taken on idle and restored on resume, so reopening a project skips boot, dependency install, and build phases — typical resume time is around two seconds even for full-stack environments with running databases.

Environment branching+

A single action forks the current microVM — including running processes, installed packages, open ports, and in-memory state — into a new independent VM. This enables parallel exploration of refactors, A/B testing of agent strategies, and lightweight 'what if' branches without re-bootstrapping the environment.

Sandbox SDK+

Node.js and Python SDKs expose microVM lifecycle (create, fork, snapshot, destroy), file system access, command execution, and port forwarding through a programmatic API. Designed for embedding inside AI agent backends, it supports persistent state across sessions and kernel-level isolation suitable for executing untrusted LLM-generated code.

Real-time collaboration+

Multiple users can edit the same files simultaneously with live cursors, share a single terminal session, and view forwarded ports together. Built-in to every sandbox without separate setup, making it suitable for pair programming, interviews, workshops, and live debugging sessions.

Editor flexibility+

Developers can work in the browser-based web editor, the official VS Code extension, or the JetBrains Cloud Containers plugin — all backed by the same remote microVM. This lets individual contributors keep their preferred local editor while the team shares a consistent cloud environment.

GitHub integration and PR previews+

Repositories sync bidirectionally with GitHub, and pull requests can automatically spin up ephemeral preview environments built from the same microVM snapshots, giving reviewers a working app to test rather than just a diff.

Pricing Plans

Free

$0

    Pro

    ~$12/mo (third-party comparison sites; vendor pricing page blocks crawlers behind a Cloudflare JS challenge)

      Scale / Team

      ~$170/mo (third-party comparison sites; not vendor-confirmed)

        CodeSandbox SDK

        Usage-based (verify rates on docs.together.ai or codesandbox.io/docs/sdk/pricing)

          Enterprise

          Custom

            See Full Pricing →Free vs Paid →Is it worth it? →

            Ready to get started with CodeSandbox?

            View Pricing Options →

            Getting Started with CodeSandbox

            1. 1Sign up at codesandbox.io and create your first sandbox by importing a GitHub repository or selecting a starter template.
            2. 2Explore the browser IDE: edit files, open a terminal, and preview your running app via the built-in preview pane and unique preview URL.
            3. 3Invite a teammate to your sandbox to try real-time collaborative editing with live cursors and shared terminals.
            4. 4Install the VS Code extension or JetBrains plugin to connect your local editor to a CodeSandbox microVM for a familiar workflow.
            5. 5To use the Sandbox SDK, install the @codesandbox/sdk package (Node.js) or codesandbox-sdk (Python), authenticate with your API key, and programmatically create, fork, and manage sandboxes from your application.
            Ready to start? Try CodeSandbox →

            Best Use Cases

            🎯

            AI agent workloads needing isolated sandboxes for untrusted code execution and tool calls

            ⚡

            Eval harnesses running batches of code-generation models against test suites in parallel

            🔧

            Edtech and dev-rel teams shipping live coding experiences via Sandpack

            🚀

            CI/CD pipelines that need fast spin-up + hibernate test environments per branch

            Integration Ecosystem

            4 integrations

            CodeSandbox works with these platforms and services:

            🧠 LLM Providers
            OpenAI
            ☁️ Cloud Platforms
            Vercel
            ⚡ Code Execution
            Docker
            🔗 Other
            GitHub
            View full Integration Matrix →

            Limitations & What It Can't Do

            We believe in transparent reviews. Here's what CodeSandbox doesn't handle well:

            • ⚠CodeSandbox is optimized for general-purpose dev environments and agent code execution, not for GPU-accelerated ML training or high-performance computing — there is no first-class CUDA tier. Long-lived backend workloads consume VM credits continuously, so it is not a substitute for production hosting on Fly, Railway, or AWS. Browser-based editing inherits limitations around extension compatibility, keybinding conflicts, and offline access. Very large monorepos may experience latency due to remote file system operations over the network. The Sandbox SDK's usage-based pricing can become expensive at high concurrency volumes compared to lighter container-based alternatives.

            Pros & Cons

            ✓ Pros

            • ✓2-second VM startup on Firecracker microVMs is best-in-class for many AI agent workloads
            • ✓Sandpack and Storybook integrations have unmatched distribution across JS/React docs and learning sites
            • ✓Together AI ownership ties the SDK to a clear model/inference + agent infrastructure path

            ✗ Cons

            • ✗Pricing page now blocks crawlers (HTTP 403) — pricing transparency dropped after the Together AI acquisition
            • ✗No public MCP server yet — agent integrations go through the CodeSandbox SDK directly
            • ✗Modal Labs and E2B can be cheaper per second for pure Python eval workloads without browser IDE needs

            Frequently Asked Questions

            How does CodeSandbox achieve 2-second startup times?+

            CodeSandbox runs each project inside a Firecracker microVM and snapshots the full VM state — memory, running processes, open ports, and installed dependencies — to disk. When you reopen a sandbox, the platform restores from the snapshot instead of cold-booting and reinstalling, so your dev server, database, and build tools resume in roughly two seconds.

            What is the Sandbox SDK and who is it for?+

            The Sandbox SDK is a Node.js and Python library that lets developers programmatically create, fork, and destroy CodeSandbox microVMs from their own applications. It's primarily aimed at AI product teams that need to execute LLM-generated code in isolated environments — for example, coding agents, data-analysis copilots, or interactive tutorials — and want kernel-level VM isolation rather than shared-container sandboxing.

            How does CodeSandbox compare to GitHub Codespaces and Gitpod?+

            Codespaces and Gitpod use container-based dev environments with cold starts measured in tens of seconds to minutes. CodeSandbox uses snapshotted Firecracker microVMs that resume in seconds and supports environment branching (forking a running VM). It also offers a programmatic SDK for agent use cases, which Codespaces and Gitpod do not natively expose.

            Can I use my own VS Code or JetBrains IDE with CodeSandbox?+

            Yes. CodeSandbox provides a VS Code extension and JetBrains plugin (Cloud Containers) that connect your local IDE to a remote microVM. You get the same microVM infrastructure and real-time collaboration features while keeping your local extensions, keybindings, and editor configuration.

            Is CodeSandbox safe for running untrusted or AI-generated code?+

            CodeSandbox isolates each sandbox in its own Firecracker microVM with a separate kernel, which is a stronger boundary than the shared-kernel containers used by many code-execution services. This makes it a common choice for AI products that need to execute model-generated code on behalf of end users without exposing the host environment.

            🔒 Security & Compliance

            ❌
            SOC2
            No
            ✅
            GDPR
            Yes
            ❌
            HIPAA
            No
            ✅
            SSO
            Yes
            ❌
            Self-Hosted
            No
            ❌
            On-Prem
            No
            ✅
            RBAC
            Yes
            ❌
            Audit Log
            No
            ✅
            API Key Auth
            Yes
            ❌
            Open Source
            No
            ✅
            Encryption at Rest
            Yes
            ✅
            Encryption in Transit
            Yes
            Data Retention: Sandbox data persists until user deletion; enterprise plans offer configurable retention policies
            Data Residency: EU (PRIMARY), WITH ENTERPRISE OPTIONS FOR REGION SELECTION
            📋 Privacy Policy →🛡️ Security Page →
            🦞

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            What's New in 2026

            Through 2025 and into 2026, CodeSandbox has leaned heavily into the agent infrastructure thesis. The Sandbox SDK has matured with first-class Python support, snapshot and fork primitives exposed programmatically, and improved persistent state across sessions — all aimed at coding-agent and AI-tutor product teams. Environment branching, originally a power-user feature, is now a core selling point for agent workflows that need to explore multiple solution paths. The browser editor has received incremental improvements but remains secondary to the SDK and infrastructure story.

            Alternatives to CodeSandbox

            E2B

            Agent Infrastructure

            Open-source secure code-execution sandbox for AI agents — spin up a fresh Linux VM in under 200ms, hand your agent a Python/Node/Bash environment, and get back files, plots, and results without ever exposing your infrastructure.

            Replit

            AI app development platform

            Replit is an AI app development platform that combines a browser IDE, Replit Agent, templates, databases, collaboration, hosting, and deployments for building and publishing software from a web workspace.

            View All Alternatives & Detailed Comparison →

            User Reviews

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            Quick Info

            Category

            Deployment & Hosting

            Website

            codesandbox.io
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