AI visibility report
AI visibility report for CodeSandbox in AI Code Sandboxes & Agent Runtimes.
Outside the top three on 23 of the 25 prompts buyers actually ask.
Northflank is cited on 20 of those losses.
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Also benchmarked
CodeSandbox appears in 2 other verticals
Track CodeSandbox across these prompts daily.
Start free trialStill absent from 98.7% of tracked prompt responses
Top-3 citations across 150 prompt × platform pairs
Peer Ranking
Key Metrics
Platform Breakdown
Gemini Search
Perplexity
Google AI Mode
Bing Copilot
ChatGPT
GrokHow to read this. CodeSandbox appears in 1.3% of tracked prompt responses. Presence is absolute coverage; share of voice is relative citation share; sentiment measures tone only when the brand appears.
Where CodeSandbox is losing
Prompts where competitors are visible and CodeSandbox is not.
These prompt-level losses are the first prompts to track and repair.
Where CodeSandbox is winning
No clear strengths identified yet.
Where CodeSandbox is losing5
What sandboxed execution environments have good support for streaming output back to the calling application in real time during an agent's code run?
Competitors on 5 platforms
Track this promptLooking for a sandboxed code interpreter that can handle long-running jobs — 10 to 30 minutes — without hitting timeout limits. What are my options?
Competitors on 5 platforms
Track this promptWhich isolated execution environments scale elastically under bursty AI agent traffic without me having to pre-provision capacity?
Competitors on 5 platforms
Track this promptWhich agent runtime platforms support spawning concurrent sandbox instances so multiple AI agents can run code in parallel for a multi-agent workflow?
Competitors on 5 platforms
Track this promptWhich microVM-based sandbox platforms have the smoothest onboarding for a solo developer shipping an AI coding assistant MVP?
Competitors on 5 platforms
Track this prompt
Track CodeSandbox daily before the next report refresh.
Track these gapsResearch dossierCapabilities, use cases, sources, reviews, pricing, and FAQ
Overview
CodeSandbox is a cloud development platform founded in 2017 in Amsterdam, Netherlands, offering instant browser-based and microVM-backed development environments. Originally launched as a React playground, it grew to support full repository workflows, collaborative coding, and PR previews. In December 2024, it was acquired by Together AI and simultaneously launched the CodeSandbox SDK—an API-first product enabling developers to programmatically spin up isolated Firecracker microVM sandboxes for AI agent code execution, secure interpretation of LLM-generated code, and large-scale CI/CD workflows. Its infrastructure supports sub-2-second VM startup, live cloning, and memory snapshot/restore. The Sandpack open-source toolkit powers embeddable live code editors across the web. The platform reports over 4.5 million monthly users, with organizations including Shopify, Atlassian, and Stripe among its user base.
CodeSandbox provides cloud-based instant development environments via browser sandboxes and Firecracker microVMs, plus the CodeSandbox SDK—an API for programmatically spinning up isolated sandboxes for AI agent code execution, secure LLM code interpretation, and scalable development workflows, now operating as part of Together AI.
Key Facts
- Founded
- 2017
- HQ
- Amsterdam, Netherlands
- Founders
- Ives van Hoorne, Bas Buursma
- Employees
- 11-50
- Funding
- $15.2M
- Customers
- 4.5M+ monthly users
- Status
- Acquired by Together AI (Dec 2024)
Target users
Key Capabilities10
- MicroVM-based isolated sandboxes (Firecracker) with sub-2-second startup, clone, and snapshot/restore
- CodeSandbox SDK for programmatic sandbox creation and management at scale
- Browser sandboxes (Sandpack) for zero-install, client-side code execution
- VM forking and parallel sandbox A/B testing for agent workflows
- Customizable hibernation with persistent state via memory snapshots
- GitHub integration for repository import, branching, and PR-level dev previews
- Real-time collaborative live coding sessions with shared URLs
- Dev Containers (Docker/Docker Compose) support for custom environments
- SOC 2 Type II compliance for secure enterprise use
- Together AI inference co-location for tightly integrated LLM + code execution pipelines
Key Use Cases8
- AI agent sandboxed code execution and secure LLM-generated code interpretation
- Interactive code playgrounds and embeddable documentation (Sandpack)
- Cloud development environments per developer or student at scale
- CI/CD test runners with snapshot-based result inspection
- PR review environments with live previews for every branch
- Coding agent evals and benchmarking (e.g., SWE-bench style pipelines)
- Open-source project examples and bug reproduction sandboxes
- Interview and workshop coding environments
CodeSandbox customer outcomes
Superblocks uses CodeSandbox SDK as the core dev environment infrastructure for its AI-powered internal application platform, enabling apps and AI agents to execute code in isolated sandboxes. The CTO cited CodeSandbox SDK as critical to realizing their vision of redefining inter
Recent Trend
How AI describes CodeSandbox3
Sandbox providers: types, categories, and top platforms in 2026 | Blog — Northflank | | CodeSandbox | Web-based, instant forks | Snapshot/fork workflows | State persists across sessions | Lightweight developer collaboration, quick prototyping Northf...
I want a sandboxed runtime where my team can define reusable execution templates — which platforms make that workflow easy without deep infra knowledge?
The strongest options today are Northflank, Modal, E2B, Fly.io Machines, CodeSandbox, and hyperscaler-managed runtimes like AWS Bedrock AgentCore, Google Vertex AI Agent Engine, and Azure AI Foundry Agent Service.Northflank+2Northflank.
Which agent runtime platforms support spawning concurrent sandbox instances so multiple AI agents can run code in parallel for a multi-agent workflow?
CodeSandbox (Sandpack Enterprise) If your agent is writing web-based code (TypeScript/JavaScript/React) and requires a browser-based execution preview: * Private Registry Support: Sandpack Enterprise includes a built-in CodeSandbox internal pr...
What are the best code execution sandbox options that support pre-installing custom dependencies from a private package registry before agent runs?
Most cited sources2
Alternatives in AI Code Sandboxes & Agent Runtimes6
CodeSandbox enters the AI agent runtime vertical from a browser-IDE heritage, leveraging seven years of microVM infrastructure built on Firecracker.
- Its December 2024 acquisition by Together AI is its core differentiator: sandboxes can run co-located with Together AI's 200+ model inference stack, creating a tightly integrated code-generation-to-execution loop.
- The CodeSandbox SDK exposes snapshot, clone, and fork primitives that few rivals match natively.
- However, it competes against purpose-built AI sandbox entrants (E2B, Daytona, Runloop) that have more AI-agent-native SDKs, and against enterprise platforms (Northflank) with stronger BYOC and unlimited session support.
- CodeSandbox's broad developer community, established Sandpack embedding ecosystem, and Together AI infrastructure backing give it a credible position for teams already on the Together AI stack, while its 2-to-7-day sandbox standby limits and managed-only deployment model constrain appeal for long-running production agent workloads.
Reviews
Praised
- Instant setup with no local environment configuration
- Real-time collaborative editing via shared URL
- Seamless GitHub repository integration
- Wide framework and language template support
- Live preview for instant feedback
- VS Code extension parity
- Accessible from any device (browser, iOS, desktop)
Criticized
- Performance degradation on large projects or heavy modules
- Limited offline functionality
- Steep learning curve for discovering all features
- Premium plans perceived as expensive
- Limited advanced customization vs. local environments
- Dependency handling edge cases
- Sparse video tutorial coverage for advanced features
G2 reviewers (4.5/5 from 19 reviews) consistently praise CodeSandbox's instant setup, real-time collaboration, and GitHub integration. Users value the elimination of local environment configuration and the ability to share work via a single URL. Criticisms center on performance degradation with larger projects due to the online/browser-based nature, limited offline functionality, a learning curve for discovering all features, and the perception that premium plans are expensive relative to feature depth. Some reviewers note constrained advanced customization and dependency-handling edge cases compared to local environments.
Pricing
CodeSandbox uses a tiered subscription model with usage-based VM credits. The Build (Free) plan includes 40 hours/month of VM credits, unlimited browser and VM sandboxes, up to 5 workspace members, and SDK access limited to 10 concurrent VMs. The Scale plan starts at $170/month per workspace, includes 160 hours of monthly VM credits, up to 250 concurrent VMs, 1,000 new sandboxes/hour, and on-demand credits at $0.15/hour (credits priced at $0.015 each). Enterprise plans offer custom VM concurrency, up to 64 vCPUs/128 GiB RAM per VM, dedicated support, SSO, and optional dedicated cluster deployment; pricing is via Together AI sales. Discounts are available for education, open source, and non-profit organizations.
Limitations
- Sandbox standby limits of approximately 2-7 days can force manual recreation for long-running production agent workflows.
- No bring-your-own-cloud (BYOC) or self-hosted deployment option is available; infrastructure is managed-only.
- Browser sandbox performance degrades on large projects or heavy dependency trees due to in-browser bundling constraints.
- The SDK ecosystem is newer and less mature than purpose-built AI sandbox rivals like E2B for agent-native workflows.
- Concurrent VM limits are plan-gated (10 on free/Build, 250 on Scale), which can be restrictive at high agent parallelism.
- Limited advanced egress/networking controls compared to Modal or Northflank.
Frequently asked questions
Topic coverageCoverage by buyer topic
Topic Coverage
Prompt-Level Results
| Prompt | Gemini Search | Google AI Mode | Bing Copilot | Perplexity | ChatGPT | Grok |
|---|---|---|---|---|---|---|
Capability0/5 cited (0%) | ||||||
What are the best isolated runtime options for AI agents that need persistent filesystem state across multiple execution steps in a single session? | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited |
Looking for a sandboxed code interpreter that can handle long-running jobs — 10 to 30 minutes — without hitting timeout limits. What are my options? | A competitor was cited | A competitor was cited | A competitor was cited | A competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited |
I need a code execution environment that supports GPU workloads for AI-generated training scripts — which sandboxed platforms handle that use case? | A competitor was cited | A competitor was cited | A competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited |
Which sandboxed execution platforms let AI agents run arbitrary shell commands safely without kernel-level escape risks or shared-tenant interference? | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited |
Which agent runtime platforms support spawning concurrent sandbox instances so multiple AI agents can run code in parallel for a multi-agent workflow? | A competitor was cited | A competitor was cited | A competitor was cited | A competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited |
Developer Experience0/5 cited (0%) | ||||||
Which code sandbox services have good observability built in so I can actually debug what my AI agent is running inside the environment? | A competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited |
Which agent compute platforms have the most active developer communities and solid docs for teams just getting into agentic AI workflows? | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited |
What do platform engineers typically use to manage ephemeral execution environments for AI agents — and which options have the least operational burden? | A competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | A competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited |
I want a sandboxed runtime where my team can define reusable execution templates — which platforms make that workflow easy without deep infra knowledge? | A competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited |
Which AI sandbox platforms offer the best developer experience for iterating on agent tools locally before deploying to production? | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited |
Integrations & Ecosystem1/5 cited (20%) | ||||||
Which agent compute platforms avoid heavy lock-in and work across major cloud providers so I can keep data residency in my existing infrastructure? | A competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited |
What sandboxed execution environments have good support for streaming output back to the calling application in real time during an agent's code run? | A competitor was cited | A competitor was cited | A competitor was cited | A competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited |
What are the best code execution sandbox options that support pre-installing custom dependencies from a private package registry before agent runs? | Your brand and a competitor were cited | A competitor was cited | A competitor was cited | A competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited |
Which sandboxed agent runtimes integrate well with popular LLM orchestration frameworks so I don't have to build a custom execution bridge? | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited |
I need an AI agent sandbox that allows secure outbound connections to a relational database during execution — which platforms support that? | A competitor was cited | A competitor was cited | A competitor was cited | A competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited |
Performance & Reliability0/5 cited (0%) | ||||||
My AI agent generates and executes code in a tight loop — which sandbox platforms sustain high-frequency execution without degrading over time? | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited |
Which microVM sandbox services have the lowest cold-start latency for AI agent code execution at scale — sub-500ms range? | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited |
What sandboxed agent runtime platforms are best suited for production workloads executing user-submitted code thousands of times per day? | A competitor was cited | A competitor was cited | A competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited |
Which code sandbox platforms are considered production-ready for enterprise AI applications where uptime and SLA guarantees actually matter? | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited |
Which isolated execution environments scale elastically under bursty AI agent traffic without me having to pre-provision capacity? | A competitor was cited | A competitor was cited | A competitor was cited | A competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited |
Setup & First Run1/5 cited (20%) | ||||||
I'm adding a code interpreter to my LLM app and need a sandboxed runtime — which services are easiest to integrate without managing my own infrastructure? | A competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited |
Looking for an ephemeral code execution environment I can provision per user session — which services have a simple SDK or API to get started quickly? | A competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | Your brand and a competitor were cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited |
I'm evaluating sandboxed agent runtimes for a small team building an AI data analyst tool — what should I look at to avoid the overhead of self-hosting? | A competitor was cited | A competitor was cited | A competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited |
What's the fastest sandbox runtime to spin up for an AI agent backend — which platforms let you get isolated code execution running in under 5 minutes? | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited |
Which microVM-based sandbox platforms have the smoothest onboarding for a solo developer shipping an AI coding assistant MVP? | A competitor was cited | A competitor was cited | A competitor was cited | A competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited |
Turn this matrix into daily prompt monitoring.
Track prompt changesVertical Ranking
| # | Brand | PresencePres. | Share of VoiceSoV | DocsDocs | BlogBlog | MentionsMent. | Avg PosPos | Sentiment |
|---|---|---|---|---|---|---|---|---|
| 1 | Northflank | 44.0% | 46.2% | 0.0% | 43.3% | 38.0% | #3.9 | +0.45 |
| 2 | Modal | 28.7% | 35.5% | 0.7% | 1.3% | 53.3% | #4.4 | +0.34 |
| 3 | Daytona | 6.7% | 6.8% | 5.3% | 0.0% | 36.0% | #2.7 | +0.73 |
| 4 | Cloudflare | 6.0% | 7.5% | 2.7% | 0.0% | 18.0% | #3.0 | +0.59 |
| 5 | E2B | 3.3% | 2.5% | 0.7% | 0.0% | 53.3% | #2.4 | +0.79 |
| 6 | CodeSandbox | 1.3% | 0.7% | 0.0% | 0.0% | 7.3% | #4.5 | +0.20 |
| 7 | Fly.io | 1.3% | 0.7% | 0.0% | 0.0% | 14.7% | #7.5 | +0.45 |
| 8 | Morph | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | — | — |
| 9 | Runloop | 0.0% | 0.0% | 0.0% | 0.0% | 2.7% | — | — |
| 10 | Together AI | 0.0% | 0.0% | 0.0% | 0.0% | 1.3% | — | — |
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