A clean production build
Run the framework's real build command in a fresh environment instead of assuming the development preview is deployable.
Vibe coding hosting
Deploy vibe-coded apps with your AI agent.
Adios is a source-backed workspace and deployment platform for AI-built apps. Give Cursor, Claude Code, or Codex a cloud it can operate—or bring source from Lovable and Bolt—then build, preview, inspect logs, fix failures, and approve production in one release path.
Agent-operated release loop
01inspect sourceagent
02build + testworkspace
03preview + logsAdios
04repair + verifyagent
05approve productionyou
Source-backed
Keep files and configuration
Full-stack
Apps, APIs, workers, and data
Observable
Build output, health, and logs
Approval-gated
You control production
After the prototype
Production is more than a live URL.
Vibe coding gets an idea into working software quickly. Hosting has to make that software repeatable, debuggable, secure, and reviewable after the first successful demo.
Explicit runtime configuration
Keep build, start, port, health, region, secrets, and service requirements in a reviewable adios.yaml.
A preview with evidence
Open the built app, inspect its health endpoint, and keep build output and runtime logs available to the agent and reviewer.
A source-level repair loop
Fix failed builds and unhealthy starts in the source or manifest, then verify the next preview instead of patching production.
Services and secrets
Connect databases, caches, queues, domains, TLS, and private configuration without baking credentials into generated files.
Human production approval
Let the agent prepare a release while a person retains the decision to promote that exact version to production.
Source-to-release
Keep the agent in the loop from source to healthy release.
StageWhat the agent doesWhat you can verify
Source
Reads and edits project files
Diff and repository state
Runtime
Detects commands and dependencies
adios.yaml and secrets contract
Build
Runs the production build
Complete build output
Preview
Starts and checks the release
URL, health, and runtime logs
Production
Presents the prepared version
Configuration and approval request
Tool-specific deployment
Deploy from the AI coding tool you already use.
Direct MCP clients can operate the Adios workflow from the agent. Builder tools hand off the project source first. Every path ends with a source-backed build, preview, logs, and production review.
CUDirect Adios MCP
Cursor app hosting
Connect Cursor to Adios MCP so Agent can inspect the current repository, prepare its runtime, build a production artifact, open a preview, read failures, and present a healthy release for approval.
deploy an app built with CursorCCDirect Adios MCP
Claude Code app hosting
Give Claude Code a hosted deployment surface without leaving its terminal workflow. It can inspect source, define the runtime, run builds, open previews, and use logs to repair a release before you approve production.
deploy an app built with Claude CodeCXDirect Adios MCP
Codex app hosting
Connect Codex to Adios over MCP and let the agent carry the project from a source-backed workspace to a verified preview. You keep visibility into the diff, runtime contract, logs, and final production decision.
deploy an app built with CodexLOGitHub source sync
Lovable app hosting
Keep the source generated in Lovable, sync it to GitHub, and move it into an Adios workspace for a real production build, preview, diagnostics, and an approval-gated release.
deploy an app built with LovableBOCLI source pull
Bolt app hosting
Pull the complete Bolt project source into a repository, open it in an Adios workspace, and turn the generated prototype into a buildable, observable, approval-gated production release.
deploy an app built with BoltTwo source paths
Keep the source—and keep production approval human.
Cursor, Claude Code, and Codex connect to the hosted Adios MCP endpoint. Lovable and Bolt projects arrive through a durable source handoff. Neither path turns a chat transcript into the production record: the project files and deployment manifest do that job.
Direct MCP
Agent operates Adios
OAuth connects the AI client to scoped workspace, build, preview, log, and deployment tools.
Browse MCP clientsSource handoff
Repository enters Adios
GitHub sync or a CLI pull preserves the generated files before the Adios workspace prepares production.
Follow the production guideFAQ
Vibe coding hosting questions.
What is vibe coding hosting?
Vibe coding hosting is a deployment service for applications created or maintained with AI coding tools. A production-ready service should work from the source, run the real build, provide previews and logs, manage runtime configuration, and keep production releases controlled.
Which AI coding tools can I use with Adios?
Cursor, Claude Code, and Codex can connect directly to Adios through its hosted MCP server. Projects from Lovable and Bolt can be transferred through their source export workflows and deployed from an Adios workspace.
How is Adios different from a builder's publish button?
Adios keeps the source, deployment manifest, production build, preview, logs, health checks, services, and release approval connected. It is designed for the development and deployment loop after an AI tool has created the first version, including apps that need more than static publishing.
Do I keep the source code for a vibe-coded app?
Yes. Adios works from source-backed projects. Direct MCP clients operate on project files in an authorized workspace, while builder projects can be brought in through GitHub or a local source pull and kept in version control.
Can a vibe-coded app use databases, caches, or queues?
Yes. The application can be configured with managed services such as Postgres, Redis, MySQL, MongoDB, or RabbitMQ when its architecture requires them. Secrets and connection settings stay separate from public source.
Can an AI agent deploy to production automatically?
The agent can inspect source, prepare configuration, build, preview, read logs, and repair a release. Production deployment remains approval-gated so a person can review the prepared version before it goes live.
Adios for AI-built apps
Give your AI agent a deployment path it can operate.
Build from real source, verify a healthy preview, and approve the exact version that should reach production.