Adios
AI Workspaces

AI workspaces for production teams.

Adios gives developers and AI agents a shared, source-backed workspace. Team members can edit and review code, run builds, open preview environments, inspect logs, and decide what moves to production. Git state, secrets, runtime configuration, and deployment controls stay connected to the project.

Video demo coming soon

AI workspace demo

Team collaboration, AI-agent changes, builds, preview environments, review, and deployment.

Workspace lifecycle

One project context for your team and its AI agents.

Keep source, Git state, builds, the preview runtime, logs, secrets, and deployment controls connected throughout the change.

01

Work together in one workspace

Team members share the same source, Git state, agent activity, builds, previews, and logs instead of passing context between tools.

02

Give AI agents real project context

Agents can plan, edit project files, run commands and checks, and work with the configuration and services the application needs.

03

Build and preview before production

Run builds in a preview environment, inspect the application and logs, then choose when to commit or deploy.

Why this matters

AI output is not a team development environment.

A prompt can produce code, but a team still needs shared source, build results, preview environments, review, Git history, secrets, logs, and a controlled deployment path.

What changes with Adios

One workspace connects your team, AI agents, and the application lifecycle

Developers and AI agents work from the same source and runtime context. Files, Git state, builds, previews, logs, configuration, secrets, managed resources, workflows, and deployments remain visible from one workspace.

How it works

From shared source to an approved release.

  1. Step 01

    Open a shared workspace from an existing repository, template, or synced local project.

  2. Step 02

    Developers and AI agents edit source, run commands, and follow build output in the same project context.

  3. Step 03

    Review the changes, verify the preview environment and logs, then commit, sync, or deploy.

Inside the workspace

See the workspace feature by feature.

Each view keeps the same project context while your team moves from source and AI-assisted changes to builds, previews, review, and deployment.

01

Team collaboration

Give team members access to the same source, Git state, agent activity, builds, previews, and logs.

02

Source and Git

Inspect files and diffs, commit changes, push or pull, and sync with a local project.

03

AI agents

Review agent plans, file changes, commands, and verification steps inside the project.

04

Builds and checks

Run project commands and tests, then inspect build output without leaving the workspace.

05

Preview environments

Start a preview runtime, open its stable URL, and verify the application before production.

06

Logs and diagnostics

Read build and runtime logs beside the source and preview that produced them.

07

Secrets and configuration

Manage environment variables, feature flags, secret references, and runtime configuration with the project.

08

Workflows, resources, and deployment

Create workflows, inspect run history, connect managed resources, and deploy the approved version.

Start here

Give your team one workspace for source, AI, previews, and deployment.

Bring an existing repository, template, or local project. Let developers and AI agents work from the same context, then review, commit, sync, and deploy when the change is ready.

Create a workspace