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About Bunnyshell
Bunnyshell is an Environments-as-a-Service platform that eliminates the 'works on my machine' problem. It auto-provisions isolated, full-stack environments from any Git branch or pull request — with preview URLs, auto-sleep, and auto-destroy on merge.
What it solves
Developers waste hours waiting for Docker builds and debugging environment inconsistencies. Bunnyshell replaces local setups with cloud-based ephemeral environments, reducing QA cycles by 3x and saving 25+ hours per engineer per month. No more staging bottlenecks or surprise cloud bills.
Who it is for
Best for engineering teams shipping frequently (especially in startups and scale-ups) who need preview environments for every PR, AI sandboxes for agents, or self-service staging without DevOps tickets. Less suited for solo developers on small personal projects who don't need multi-environment orchestration.
Real use cases
Teams use Bunnyshell for ephemeral preview environments per PR, cloud development environments with hot-reload, self-service staging, AI sandboxes (~100ms startup), QA testing, sales demos, and enterprise delivery to private clouds.
Key features
- Instant preview environments — Every pull request gets a full-stack, isolated environment with a unique URL. Auto-created on push, destroyed on merge.
- Cloud development environments — Spin up full dev environments in seconds with all services and dependencies. No local setup.
- Auto-sleep — Environments pause after inactivity, reducing cloud costs by up to 70%.
- Kubernetes-native — Runs on your own K8s cluster (EKS, AKS, GKE) or Bunnyshell's managed infrastructure.
- AI sandboxes — Isolated sandboxes for AI agents with ~100ms startup, filesystem access, and no host exposure.
- Self-service staging — Create, clone, and manage staging from the UI without DevOps tickets.
- Team collaboration — Share environments for pair programming, code reviews, and demos.
SaaSpartout Score
7.3
/10
Editorial score from our review methodology — not user ratings.
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Bunnyshell Pricing
Bunnyshell pricing: $0.007/min per env. Billing model: Freemium.
Startup (Pay-as-you-go)
$0.007/min per active environment. 14-day free trial included. No contracts, no minimum commitments. Includes: preview environments, sandbox AI environments, modern CI/CD, bring your own cloud.
Scaleup (Custom)
Custom pricing for teams with 20+ users. Includes everything in Startup, plus DORA metrics, cloud cost reporting, and advanced RBAC.
Enterprise (Custom)
Custom pricing for large-scale teams. Includes all Scaleup features plus audit log, support SLA, and dedicated Slack/Teams channel.
Frequently asked questions
How much does Bunnyshell cost?
Bunnyshell offers a 14-day free trial (no credit card required). After the trial, the Startup plan charges $0.007 per minute per active environment on a pay-as-you-go basis with no contracts. Scaleup and Enterprise plans have custom pricing.
What is Bunnyshell used for?
Bunnyshell is used to create isolated, full-stack development and preview environments for every pull request. It supports cloud development environments, self-service staging, AI sandboxes, QA testing, sales demos, and enterprise delivery on Kubernetes.
Is Bunnyshell free?
Yes, Bunnyshell offers a 14-day free trial with full feature access. No credit card required. After the trial, you pay only for active environments at $0.007 per minute.
How does Bunnyshell work with Git?
Bunnyshell connects to your GitHub, GitLab, or Bitbucket repository. When you open a pull request, Bunnyshell automatically provisions an isolated environment using Docker Compose, Helm, or Terraform — tools you already use.
Who is Bunnyshell best for?
Bunnyshell is best for engineering teams at startups and scale-ups who ship frequently and need ephemeral preview environments for every PR. It saves developer hours, reduces QA cycles, and eliminates staging bottlenecks. It is less suitable for solo developers on small projects.
What are alternatives to Bunnyshell?
Popular alternatives include Gitpod, CodeSandbox, and Okteto. Bunnyshell differentiates with Kubernetes-native support, AI sandboxes, and a pay-per-minute pricing model that scales with usage.
