Cloud native verification platform
Catch what AI-generated code breaks before merge. Each change gets an ephemeral environment without duplicating the stack, so agents and CI test hundreds of changes in parallel.
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What makes Signadot different
Every change needs a realistic environment to be tested in, and coding agents make many changes at once. Signadot environments are realistic and light enough for each change to get its own.
The usual way
Most ephemeral environment tools copy the entire stack for each environment they create. Full copies are slow to start and costly to run, so teams can afford only a few, while coding agents need one for every change.
Signadot
A Signadot ephemeral environment starts in seconds and costs a fraction of a full copy, yet behaves like an entire environment, with real services, data and queues. Hundreds share one cluster. See how it works
Jobs
Run the Playwright, Cypress or custom suites you already have inside your cluster, in parallel, each against its own ephemeral environment.
Learn morePlans
Compose actions into reusable plans that coding agents run to check their changes in an ephemeral environment.
Learn moreMiro replaced about 15 fixed test environments with 3 shared ones, and its teams and agents test in parallel.
Read the Miro storyBitso gives 250+ engineers and their coding agents an environment for every pull request, across 200+ microservices.
Read the Bitso storyEarnest runs its end-to-end suites in parallel, so developers find issues before their code reaches staging.
Read the Earnest storyHow it works
An ephemeral environment copies only what changed and wires it into an environment you already run, such as staging. Signadot does the wiring for requests, messages and resources.
Each ephemeral environment has a routing key. A request that carries it reaches the environment's copy of a service at every hop, and the shared version of everything else. Signadot sets up the routes in your service mesh, such as Istio, or with its own sidecar.
Messages, workflow tasks and jobs carry the routing key too. Consumers and workers in an ephemeral environment take only the work tagged for it, and the baseline takes the rest, so every environment shares the same brokers and queues.
Some components need a copy of their own, such as a database for a schema change, or live outside Kubernetes, such as a managed queue. Your platform team describes how to create them once, as a resource plugin. Any environment can then have its own, created when it starts and removed when it ends.
Databases Share the database with each environment's data kept apart, or give an environment a temporary database or a branch from Neon or Xata.
Data isolationMessage queues One shared broker for every environment, with guides for Kafka, RabbitMQ, NATS, SQS and SNS, and Google Pub/Sub.
Message queue isolationWorkflows and batch jobs The routing key travels with every workflow, task and job, down to the steps they start, so the right workers pick them up.
Temporal workersCloud resources Managed databases, queues, buckets and other cloud services outside Kubernetes, created with Terraform, a cloud CLI or a script.
Resource pluginsWhere it fits
The same ephemeral environments serve both loops of development: developers and coding agents testing as they write code, and CI testing every pull request before merge.
Developers and coding agents test as they write code.
CI tests every pull request before merge.
Who it's for
Different roles, same platform. Signadot fits into your existing workflows.
You're being asked to adopt AI coding tools and increase developer productivity without increasing headcount or cloud spend. Signadot is the infrastructure layer that makes that possible. Scale testing to match the pace of code generation, without scaling costs.
You need infrastructure that fits your existing stack, not another abstraction to manage. Signadot installs as an operator in your Kubernetes cluster and works with your service mesh (Istio, Linkerd), CI/CD pipelines and OpenTelemetry. Give your developers and their agents self-service environments without filing tickets.
Get instant feedback on every change, against real services. Your coding agents can spin up ephemeral environments, run tests, and iterate autonomously to give you back the time you'd spend babysitting their output.
The platform
A closer look at the tools behind both loops: local development against real services, an ephemeral environment for every pull request, test suites in your cluster and plans that coding agents run. Together they let your team test AI-generated code during development and before merge, so you ship as fast as code is written.
Developers and coding agents use the CLI or the MCP server to connect a local workstation to your Kubernetes cluster over a secure, two-way tunnel. Test local changes end to end from web, mobile or API frontends, with no mocks.
Learn moreYour CI creates an ephemeral environment for every pull request, hundreds at a time. Preview the change in a browser or on a phone, and run functional and non-functional tests against it before merge.
Learn moreSandbox pr-276-frontend created
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Run your Playwright, Cypress or other suites as Jobs, inside your Kubernetes cluster, against any ephemeral environment. End-to-end and integration problems show up before merge, not after.
Explore test scenariosPlatform teams build secure custom actions inside your Kubernetes cluster. Developers compose them into plans that coding agents run to check their changes. Every run is deterministic and uses no tokens, so plans stay fast and cheap at scale.
Learn moreVoice of our customers
Most ephemeral environment tools copy the whole stack for every change. Signadot multiplexes many ephemeral virtual environments within one physical environment, such as staging, and each one duplicates only the components a change touched. That keeps them light and fast to create, so hundreds run in parallel for developers and coding agents.
Local development. Run the service you are changing on your laptop, or let a coding agent do it, inside an ephemeral environment with real dependencies.
Preview environments. An ephemeral environment for every pull request, including web and mobile frontends.
Your own automated tests. Run Playwright, Cypress, k6 or any other suite in your cluster against each environment.
Smart Tests. API tests that compare a changed service with the baseline and flag breaking changes.
Coding agents. An MCP server and agent skills let agents create environments and test their own changes.
Each coding agent gets its own ephemeral environment with real services and data, whether it runs on a developer's laptop or as a background agent in the cloud. The agent runs its code against the real system, reads the errors, fixes them and runs its tests again before anyone reviews the change, without touching anyone else's work.
Any coding agent that supports the Model Context Protocol (MCP) or agent skills, including Claude Code and Cursor. Agents create and manage ephemeral environments and test their changes from inside their own workflow. Background agents running in cloud sandboxes get their own ephemeral environment too.
The Signadot MCP server connects coding agents to your Kubernetes clusters through the Model Context Protocol. It ships with the Signadot CLI and gives agents tools to create and manage ephemeral environments and read cluster context, so they can test their changes against real services from a prompt.
An ephemeral environment, called a Sandbox in the Signadot CLI and API, holds only the components a code change touches and shares everything else in your existing environment, such as staging. Whoever uses it sees what looks like a full copy of staging, without interfering with anyone else's work.
Inside the Kubernetes clusters you already run. Signadot installs as an operator, so workloads, data and tests stay in your infrastructure. The Signadot control plane manages the environments but sees only resource metadata by default, never your code or application data.
Most teams create their first ephemeral environment in about 15 minutes. You install the Signadot operator in your Kubernetes cluster and use the CLI to create an environment and run your tests, or start on our playground cluster with no cluster of your own.
Through the Signadot CLI, as a step in any pipeline. The pipeline creates an ephemeral environment for each pull request, runs your tests against it, and deletes it when the pull request closes. The docs have guides for GitHub Actions, GitLab CI, Jenkins and Bitbucket Pipelines.
Yes. On Istio it is native: Signadot updates the routing rules in your VirtualServices and Istio routes the traffic, in sidecar or ambient mode, with no extra sidecar to install. With the Gateway API, Signadot adds routes beside your HTTPRoutes and GRPCRoutes. With Linkerd or no mesh, a lightweight DevMesh sidecar routes requests. The routing key travels in the OpenTelemetry baggage header your tracing libraries already pass along.
Yes. Signadot runs your existing test suites, such as Playwright, Cypress, Selenium, Postman, k6 or your own, in your cluster against each ephemeral environment, on pre-warmed runners, with the results in one place. Coding agents can also write new tests and run them in their environment, which gives them immediate feedback on their changes.
Smart Tests are API tests you write once in Starlark. Signadot sends the same requests to the changed service and to the baseline, and a model flags the differences that matter, such as a removed field or a new error, without an assertion for every field. They cover REST APIs with JSON and complement contract tests rather than replacing them.
Yes. Signadot runs in your infrastructure, and its control plane receives only resource metadata by default, never your code or application data. It supports SSO and role-based access control, and Signadot is SOC 2 Type II. See the security docs.
Cloud native applications built from microservices on Kubernetes, especially with 10 or more services, where testing a change against real dependencies gets hard. It also suits teams adopting coding agents, where 50 or more agents and developers need environments at once. Resource plugins bring in what runs outside Kubernetes, such as managed databases and cloud services.
Signadot has a free Starter plan, and paid plans that scale with usage as your team and coding agents ship more changes. See the pricing page, or talk to us for a custom quote.
Signadot works with them rather than replacing them. Those tools run your tests. Signadot gives each change a realistic ephemeral environment for them to run in, and runs them in parallel across many environments.
Loop-based development means agents run longer, in parallel, and without anyone watching each attempt. What that costs is decided by the verification surface under the agent, not the token price.
How a Tokyo-based legal AI company adapted its internal GKE platform for AI agents, connecting local development to the cluster and validating every PR with Signadot preview environments before merge.
Austin Xu wired Signadot sandboxes into his AI coding agent workflow and moved integration testing inside the agent's loop. A high-level look at his journey, the integration, and the results.