Now in early access · v0.4

Engineers aren't slow. Their environment is.

Environment drift, missing brokers, stale mocks, and broken migrations silently devour engineering hours. SprintOS turns a single prompt into a fully reproducible dev stack — booted in seconds, identical everywhere, whether it runs in your VPC or ours.

Get Early Access View Docs →

✓ Boots in < 5s✓ Bit-for-bit reproducible✓ No vendor lock-in

prompt → sprintos.yaml

$sprintos init "ecommerce backend, postgres orders, kafka events, mocked stripe"

→ Compiling stack…

databases:
  - id: orders-db
    type: postgres
    version: "16"
messaging:
  - id: events
    type: kafka
    topics: [orders.created]
mocks:
  - id: stripe
    endpoint: /v1/charges
    response: { status: "succeeded" }

$sprintos up▍

✓ stack ready in 4.2s — http://localhost:3000

Cold start

< 5s

Reproducibility

bit-for-bit

Deployment targets

VPC · SaaS

Built for teams replacing

Terraform+Docker Compose+Flyway+WireMock→ one system

The hidden tax

Every sprint, your team pays for environments that aren't ready.

Developers want to ship. Instead they wait — for a DB to seed, a broker to come up, a mock to behave, a migration to unblock. Multiply that across your team and the cost is brutal.

3.5 hrs/day

Average dev time lost to env issues

$42k+

Wasted per engineer per year, idle

11 days

To onboard a new dev to a real stack

< 5s

With SprintOS — full stack, deterministic

Why SprintOS

Infrastructure as a deterministic system, not a pile of YAML.

Stop gluing together five tools. SprintOS treats your dev stack as one compiled artifact — versioned, reproducible, and runnable anywhere from a CLI to a managed cloud.

Stack composer engine

Declarative bundles compose databases, messaging, mocks, and migrations into one reproducible system.

Multi-database orchestration

PostgreSQL, Oracle, MongoDB, Neo4j and more — provisioned, seeded, and wired together deterministically.

AI stack generation

Describe what you need in natural language. SprintOS compiles a typed, validated stack config.

Messaging built in

Kafka, Pulsar, RabbitMQ — provisioned with topics, queues, and bindings as part of your bundle.

Mock runtime engine

Deterministic mock services with dynamic parameters or fully scripted responses. No external sandbox needed.

Migration orchestration

Flyway/Liquibase-style migrations with SQL, shell, Python, and Groovy scripts — ordered across every datastore.

Explore all features →

Try it

From AI prompt to full production-like stack in seconds.

Type a description of your backend. SprintOS generates a deterministic config and visual architecture graph.

Describe your stack

Architecture graph

app

→

orders-dbcacheeventspayments-api

sprintos.yaml

name: ecommerce-stack
version: 1.0.0

databases:
  - id: orders-db
    type: postgres
    version: "16"
    migrations: ./db/migrations
  - id: cache
    type: redis
    version: "7"

messaging:
  - id: events
    type: kafka
    topics: [orders.created, orders.shipped]

mocks:
  - id: payments-api
    endpoint: /v1/charge
    response:
      status: 200
      body: { id: "ch_${uuid}", status: "succeeded" }

services:
  api:
    depends_on: [orders-db, events, cache, payments-api]
    env:
      DATABASE_URL: postgres://orders-db:5432/orders
      KAFKA_BROKERS: events:9092

How it works

Four phases. One compiled artifact.

1
Prompt or config
Write a sprintos.yaml or describe your stack in natural language.
2
Deterministic compilation
SprintOS validates dependencies and produces a typed bundle.
3
Provisioning
Databases, brokers, mocks and migrations spin up in dependency order.
4
Runtime execution
Your services run against a fully wired stack — locally or in any cloud.

See the full pipeline →

sprintos compile

$sprintos compile stack.yaml

✓ resolve graph (12 nodes)

✓ validate schema

✓ plan migrations (3 datastores)

✓ snapshot mocks (7 endpoints)

✓ emit bundle → .sprint/build/

$sprintos up --bundle .sprint/build

⠋ starting orders-db (postgres:16)…

⠋ starting events (kafka)…

✓ stack ready (4.2s)

Deployment

One system. Two ways to run it.

Cloud Appliance

VM images for AWS, Azure, GCP marketplaces. Runs in your VPC.

License + support

Managed SaaS

Multi-tenant cloud with web dashboard and AI stack builder.

Usage-based

Compare deployment models →

Reproducible developer environments at scale.

Join backend, platform and DevOps teams replacing their stack glue with one compiled system.