Signadot was adopted by Laurel AI, which grew the share of agent-authored code by more than 38% over three months.

Signadot is a Kubernetes-native platform that empowers AI coding agents to verify code across complex microservice ecosystems. We combine fast, scalable ephemeral environments with a validation framework built specifically for distributed systems. Scalable Ephemeral Environments Instead of spinning up full copies of a cluster for every test, Signadot is installed into any shared Kubernetes cluster with stable versions of your services. When an agent or developer initiates a test, the platform creates a sandbox that runs only the services being modified. Intelligent routing directs test traffic to the updated service while routing all other requests to the existing baseline. This provides end-to-end validation in a production-like environment, allowing testing to scale to thousands of concurrent agents and developers without duplicating infrastructure. Accelerated Inner Loop With Signadot Local, developers and agents can connect a service running on a local machine or in a cloud development environment directly to the remote Kubernetes cluster. This enables real-time debugging against live cluster dependencies and traffic, allowing them to close the loop and validate changes before code is pushed to a branch. Pre-Merge PR Validation Signadot integrates directly into the pull request (PR) workflow to provide automated pre-merge validation. PRs automatically provision lightweight sandboxes with a preview URL to enable developers and agents to validate changes end-to-end. Signadot’s developer-first agentic tools enable ad hoc tests and seamless integration into automated pipelines to validate the behavior of changes in the cluster. Teams can also bring their own automated test suites such as Playwright or Cypress with Signadot Jobs.