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Signadot
Signadot is a verification platform for cloud native applications that scales to large enterprises. Verifying a code change takes a realistic environment and automated tests, and Signadot provides both. Its unique approach multiplexes many ephemeral virtual environments within one physical environment. They are light and fast, so hundreds run in parallel for large teams and fleets of coding agents. Signadot also runs your existing tests in these environments, and lets agents write and run new on
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The beginning of the file, from our validated copy saved 2026-10-26T02:24:05.357Z. Cached copy · Source on signadot.com
# Signadot
> Signadot is a verification platform for cloud native applications that scales to large enterprises. Verifying a code change takes a realistic environment and automated tests, and Signadot provides both. Its unique approach multiplexes many ephemeral virtual environments within one physical environment. They are light and fast, so hundreds run in parallel for large teams and fleets of coding agents. Signadot also runs your existing tests in these environments, and lets agents write and run new ones.
- **How it runs:** Signadot installs as a Kubernetes operator in your environment and connects to a SaaS control plane that sees only resource metadata. The Signadot CLI and API manage everything else.
- **An ephemeral environment for every code change:** changes from coding agents and developers working locally, and from pull requests, each get an ephemeral virtual environment, one of many multiplexed within a single physical environment such as staging.
- **Only what changed is duplicated:** instead of copying the whole stack, each environment duplicates only the components that changed and shares the rest, so the change can be tested end to end, across services.
- **You choose what is duplicated:** usually only the changed services, plus a database or queue when a change needs its own, up to the whole stack.
- **Data and messages:** data isolation is built in, and so is isolation for messages that flow through a shared message broker or queue (Kafka, RabbitMQ, SQS, Pub/Sub, NATS), and for Temporal workflows.
- **Resource plugins:** create and delete any resource with an environment's lifecycle, including resources outside Kubernetes such as managed databases and cloud services.
- **Service mesh:** requests reach the right environment through the mesh you already run (Istio natively, the Gateway API, or a DevMesh sidecar with Linkerd or no mesh), with the routing key in OpenTelemetry baggage.
- **Scale:** these virtual environments are light and fast, so hundreds run in parallel for large teams and fleets of coding agents.
- **Automated tests in the same environments:** Signadot runs your existing tests in them and lets coding agents write and run new ones. Coding agents connect through an MCP server and agent skills.
Common use cases:
- **[Preview environments for every pull request](https://www.signadot.com/solutions/preview-environments/):** Each pull request to a microservices app on Kubernetes gets its own ephemeral environment and preview URL, duplicating only the changed services on the cluster you already run.
- **[Environments where coding agents test their own changes](https://www.signadot.com/solutions/agentic-development/):** Claude Code, Cursor, Codex and background agents running in cloud sandboxes each get an ephemeral environment with real services, through the Signadot MCP server, agent skills or CLI.
- **[Verifying AI-generated code before merge](https://www.signadot.com/validate-ai-generated-code-kubernetes/):** Ag
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