AI Workspaces
Build apps with AI inside a real cloud workspace.
Use the Adios agent inside a source-backed workspace, then inspect, edit, preview, commit, and deploy the code it creates.
The hook
Why developers care
AI can generate code quickly, but pasted snippets and throwaway sandboxes do not help when you need a real app with Git state, logs, secrets, previews, and deployment controls.
How Adios handles it
- 1Open or create a workspace for your app.
- 2Ask the agent to build a feature, API, workflow, or database integration.
- 3Review the source, run previews, check logs, and deploy when it works.
What you get
Platform pieces that make this work.
Source-backed file tree and editable workspace
AI plans, code changes, verification steps, and logs
Git commit, push, pull, and local sync flow
Preview runtime before production deploy
Build path
Build a real full-stack feature, not a demo snippet.
Ask the agent to add auth, a dashboard, a database table, and a background workflow. Review the diff, run the preview, then ship the current version.
Deploy your first app on Adios.
Start with this feature, then add the rest of the platform as your app needs it.
Keep exploring
Adios Deployments
Use adios.yaml and the Adios control plane to build, start, health-check, and promote app runtimes.
Managed App Hosting
Run long-lived app processes for common runtimes while Adios handles routing, logs, health, regions, and deploy state.
Global Edge Routing
Adios routes public traffic through managed gateways so generated routes, custom domains, versions, and replicas stay tied together.