Signadot

Signadot is a Kubernetes-native platform that empowers developers and AI coding agents to verify code across complex microservice ecosystems.

[Signadot @signadot]

@AnthropicAI 3/3
The agent keeps going until the check passes.

What reaches the reviewer is a merge-ready change, validated against the real system before the PR opens.

[Signadot @signadot]

New tutorial: closed-loop microservices validation with @AnthropicAI Claude Code and Signadot.

The agent proves a change against your real system before the PR, not after.

https://t.co/KNK0LxYPqb

[Signadot @signadot]

@AnthropicAI 2/3
The signadot-validate skill runs the loop inside Claude Code: wire the change into a lightweight ephemeral environment, run it against real cluster dependencies, read the result, iterate.

[Signadot @signadot]

4/4
Your app traffic, secrets, and workload logs are never sent. It reasons about the environment, not your data.

Available now in beta. Check out the docs: https://t.co/AWsUnvuKZi

[Signadot @signadot]

New in Signadot: Sandbox Analyze. An AI feature that makes managing your environments even more frictionless.

[Signadot @signadot]

3/4
It reads the sandbox spec, forked workload and pod status, recent Kubernetes events, routing health across your mesh, and the Signadot operator's own diagnostic logs scoped to that sandbox.

[Signadot @signadot]

Tutorial: How to test Temporal workers using Signadot's lightweight ephemeral environments in Kubernetes.

If you are building agentic backends, durable workflows, or multi-step orchestration on Temporal and Kubernetes, this one is for you.

https://t.co/j563MeNmhe

[Signadot @signadot]

Coding agents validate at machine speed, but only against the surface they can reach. Environments are solved (lightweight ephemeral envs give the agent a real cluster on demand). Tests are the gap. Integration tests live in CI, out of reach during the loop, so agents fall back to unit tests and mocks. Bugs land downstream.

What closes the gap: a plan. One end-to-end check for one user-visible behavior. Real cluster, real assertions, no pipeline. Ships today as two agent skills, signadot-plan and signadot-validate. Native in Claude Code, Cursor, Codex.

Full piece from CTO Anirudh Ramanathan @foxish_ on how we are building this for @thenewstack: https://t.co/BnjtNWy7FP

[Signadot @signadot]

Sandboxes. Plans. Skills.

The comprehensive agent-native platform for building and validating microservices on Kubernetes.

Available for all Signadot users today: https://t.co/ADh7XGX2DY

[Signadot @signadot]

Signadot Plans is now in beta.

Reusable validation workflows your coding agents author from natural language and run against a real Kubernetes environment, ready in seconds for any change.

[Signadot @signadot]

Platform teams own the action catalog. The boundary of what runs against your cluster stays where you want it.

Developers and agents author plans on top of that catalog. Many small, focused plans that cover the system.

[SiliconANGLE @SiliconANGLE]

New Signadot skill lets Claude Code, Codex and Cursor validate changes in live Kubernetes environments https://t.co/00eQdisWGA

[Signadot @signadot]

@AnthropicAI 6/6
Same model. Same prompt. Same code. 

The agent that could verify against a realistic environment caught its own mistake. The one that couldn't shipped a best guess that compiled clean.

Validated code, pre-PR. 

That's how you go from agents that suggest to agents that ship.

[Signadot @signadot]

We gave two @AnthropicAI Claude Code sessions the same task. One had access to Signadot and the signadot-validate skill. The other didn’t.

The one without shipped a broken change. The one with the signadot-validate skill caught it and fixed it on its own. 🧵

https://t.co/oz1bakx6mG

[Signadot @signadot]

@AnthropicAI 5/6
Playwright caught the break. 

Agent asked whether to propagate the rename or revert, made the frontend change, added the frontend to the same env, re-ran Playwright. Golden path passed.

Two services updated. End-to-end validated.