AI Development Platform
Your coding agent writes, tests, and fixes in a closed loop.
Signadot gives coding agents everything they need to validate microservices code in their inner loop: ephemeral environments, agent-callable Plans and Skills, and a native MCP server.
No credit card required
Playground cluster available
Agents generate code.
They can't verify it.
Without infrastructure to test against real dependencies, developers become the verification layer and AI productivity gains vanish.
Limited to unit tests
Without real services to run against, agents can verify functions in isolation but never end-to-end behavior across your stack.
Slower code reviews
Agents push PRs with minimal validation, leaving reviewers to confirm the code actually works.
Bugs surface post-merge
Integration issues only appear after merge, creating slow feedback cycles and disruptive fixes.
Signadot closes the loop
Give your coding agents the tools to write, test, and debug against real dependencies until their code is correct.
Spin up environment
The agent uses Signadot's MCP server to provision an ephemeral environment in your Kubernetes cluster. Local services are wired to live remote dependencies in seconds.
Write code
The agent generates code to make a change to a service.
Build and run locally
Code is built and run on the developer's machine, with traffic routed through the ephemeral environment so the local process talks to real cluster services.
Run E2E / integration tests
Integration and end-to-end tests execute against the ephemeral environment, hitting real services. No mocks, no flakes from missing dependencies.
Debug
When tests fail, the agent reads logs, captures traffic, and inspects environment state to diagnose the issue, then loops back to write the fix. Once tests pass, it publishes a validated PR.
Your Machine
Local services
MCP
K8s Cluster
Remote services
ServicesStatus
api-gatewaybaseline
payments-svcactive
auth-svcbaseline
14func HandlePayment(w http.ResponseWriter, r *http.Request) {
15 key := r.Header.Get("Idempotency-Key")
16 if cached, ok := store.Get(key); ok {
17 json.NewEncoder(w).Encode(cached)
18 return
19 }
20 if store.IsExpired(key) {
21 http.Error(w, "key expired", 409)
22 return
23 }
24 result := processPayment(r)
25 store.Set(key, result, 24*time.Hour)
26}
$ go build ./cmd/payments
→ 12 packages compiled in 1.4s
→ binary: ./bin/payments-svc
$ ./bin/payments-svc --env=pr-431
[info] listening on :8080
[info] traffic routed via env/pr-431
[info] connected → postgres@db.svc
[info] connected → redis@cache.svc
[info] connected → kafka@bus.svc
● ready, receiving routed traffic
checkout.e2epass
auth.e2epass
payment.e2efail
Assertion Error
POST /payments (expired key) returned 500
Expected: 409 Conflict
Expected: 409 Conflict
2 passed · 1 failed · 4.2s
◆ Inspecting captured request for payment.e2e...
→ tail -f logs/payments-svc | grep idem
10:42:01 store.Get(key) → nil, ttl=expired
10:42:01 processPayment() called, missing IsExpired() guard
→ signadot capture --env pr-431 --route /payments
req POST /payments Idempotency-Key: k_842 (expired)
res 500 internal server error
◆ Root cause: expiry check runs after processing. Reordering checks and looping back.
One cluster. Thousands of agent environments.
Signadot virtualizes environments onto your existing Kubernetes cluster. Every agent gets its own isolated stack, spinning up in seconds. No duplicated infrastructure, no coordination, no contention.
Thousands of agents
Every agent gets an isolated sandbox. Run them in parallel with no coordination or contention.
Seconds to spin up
Virtualized environments share the cluster baseline. No Docker builds. No cluster duplication.
Full-stack fidelity
Services, message queues, databases, caches - every layer an agent's code touches.
Signadot Plans
Validation, reimagined for coding agents.
Plans give coding agents fast, structured validation in their inner loop, against the real services your code ships into. Governance is layered on top so it works at enterprise scale.
01
Platform teams define Actions.
Actions are typed, deterministic building blocks:
Actions catalog on GitHub request-http for API checks, playwright for browser flows, k6 for load. Platform engineering owns the catalog. Each action is documented inline in markdown, so agents read it like docs and compose unfamiliar ones correctly on the first try.02
signadot-plan drafts a small, focused plan.
A plan is small. Scoped to one user-visible behavior: a booking flow, a billing check, one field in the UI. Describe it in natural language,
Skills documentation signadot-plan drafts it from the action catalog, runs it once against baseline, and commits it alongside the code. The library compounds. Every change ships another, and your system gains a vocabulary for what correct means.03
signadot-validate scans the library and runs the right one.
signadot-validate reads the diff, picks the matching plan from the library via its selection hint, and runs it in a Sandbox against real services. Failures come back as structured output. The agent fixes whichever consumer broke and re-runs until the plan passes, before any human sees the code.Platform-governed action catalog
Platform teams curate the actions available to coding agents, giving them a safe, expressive vocabulary to compose tests from.
Blazing fast, inner-loop ready
Plans run in seconds, fast enough for coding agents to validate every change as they iterate, not at the end of a long pipeline.
Tagged and reusable
Validated plans are tagged with selection hints that tell agents when to run them, so the same validation is rediscovered and rerun across sessions instead of rebuilt every time.
Same prompt. Very different outcomes.
Two agents given the same task. One validates with unit tests and linter. The other validates against live services on a Signadot sandbox, and catches what the first one misses.
Without Signadot
Unit tests & linter
Ships broken consumers
Unit tests pass. But downstream services crash on the schema change. Agent never sees the failures.
With Signadot
Real validation against live services
Ships verified code
Caught 3 consumer breakages. Iterated until every downstream service passed. PR ready for review.
Works with every coding agent
Native MCP Server
Signadot MCP Server
Native Model Context Protocol server that any MCP-compatible agent can use. Agents reach for Sandboxes, route traffic, and inspect cluster state through natural language, alongside the Plans and Skills they call out to.
Sandbox Operations
Create, list, update, and manage sandboxes. Add fork workloads, configure local mappings, and resolve preview endpoints.
Discovery & Infrastructure
List clusters, discover in-cluster workloads and service endpoints, browse available resource plugins and devboxes.
Route Group Management
Create and manage route groups, configure sandbox labels for targeting, and resolve preview endpoints for multi-sandbox routing.
Review verified code, not AI drafts.
Give your coding agents the environments, Plans, and Skills they need to close the loop.
