Build AI development environments

// Hibernation automatically snapshots disk + memory state
await sdk.sandboxes.hibernate(sandbox.id)

// Resume restores the exact state — <1s
const sandbox = await sdk.sandboxes.resume("sandbox-id")

// Fork from a hibernated sandbox to branch your environment
const fork = await sdk.sandboxes.create({ id: sandbox.id })

import { CodeSandbox, VMTier } from "@codesandbox/sdk"

const sdk = new CodeSandbox()

// Create with specific resource allocation
const sandbox = await sdk.sandboxes.create({
  id: "python-ml-template",
  vmTier: VMTier.fromSpecs({ cpu: 4, memGiB: 8 })
})

const client = await sandbox.connect()

// Write files to the sandbox filesystem
await client.fs.writeTextFile("./data/results.json", JSON.stringify(results))

// Hibernate — all files are preserved in the snapshot
await sdk.sandboxes.hibernate(sandbox.id)

// Resume later — files are exactly as you left them
const sandbox = await sdk.sandboxes.resume("sandbox-id")
const client = await sandbox.connect()
const data = await client.fs.readTextFile("./data/results.json")

const client = await sandbox.connect()

// Terminal access
const terminal = client.terminals.create()
await terminal.run("git clone https://github.com/my-org/my-repo")

// Command execution with output
const output = await client.commands.run("npm test")
console.log(output)

// Live preview URLs
const previewUrl = client.hosts.getUrl(3000)
// → https://-3000.csb.app

// File watching
const watcher = await client.fs.watch("./src", { recursive: true })
watcher.onEvent((event) => console.log(event))