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.
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.
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.
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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.
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.
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.
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.
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.
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.
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.
$0
~$12/mo (third-party comparison sites; vendor pricing page blocks crawlers behind a Cloudflare JS challenge)
~$170/mo (third-party comparison sites; not vendor-confirmed)
Usage-based (verify rates on docs.together.ai or codesandbox.io/docs/sdk/pricing)
Custom
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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.
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.
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