About AutoDeploy

Production infrastructure, without becoming an infrastructure team.

AutoDeploy connects to a GitHub repository, understands the application in it, generates real infrastructure-as-code, and deploys it — to infrastructure the customer owns, not AutoDeploy's. The core path is the same for every team:

Repository → Understand → Generate → Plan → Approve → Deploy → Verify → Operate

Bring your own infrastructure

This was an explicit, evaluated decision, not a default. AutoDeploy hosts nothing on a customer's behalf — deployments run over SSH to a server the customer already owns, or via real Terraform execution against the customer's own AWS account and credentials. There's no multi-tenant hosting blast radius, and the infrastructure it produces is real, editable Terraform and Docker configuration you can inspect and take elsewhere.

Repository-first, not config-first

AutoDeploy starts by analyzing the repository itself — detecting the stack, services, and dependencies — before generating anything, rather than asking a team to hand-author deployment config from a blank page. Every generated file (Dockerfile, CI/CD workflow, Kubernetes manifests, Terraform) stays reviewable and editable, not hidden behind an opaque pipeline.

Our mission

Make production infrastructure accessible to every software team.

Our vision

A world where shipping reliable software is simple, fast, and safe.

Who it's for

AutoDeploy is built for a mixed audience: engineers who connect a repository and configure a deploy target, and the leads and executives who need to see billing, cost, and deployment status without living in the terminal. If your team has code in GitHub and wants a real, owned deployment path to your own infrastructure, that's the problem this product is built to solve.

See it on your own repository

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