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Choose Adios when…
You want an inspectable, multi-runtime workspace with previews, logs, adios.yaml, and controlled releases.
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Platform comparison
Adios vs Lovable: prompt-first or source-backed?
Lovable focuses on prompt-first web apps. Adios supports existing code and broader runtime needs.
Last reviewed: July 21, 2026
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Choose Lovable when…
You want prompt-first web development, Lovable Cloud, and optional GitHub sync.
How they work
The practical difference
Adios connects source, preview, and runtime across several app types. Lovable focuses on prompt-first web product creation.
01
Primary workflow
Start from a prompt or bring an existing codebase.
Lovable starts with conversational web app creation. Adios can start from a repository, local project, or template.
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Adios
Developer and AI workspace plus deployment
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Lovable
Prompt-first app creation with Lovable Cloud
02
Application shape
Go beyond one web application shape.
Compare a focused full-stack web product workflow with a platform that also runs APIs, workers, workflows, and services.
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Adios
Multiple languages, web apps, APIs, workers, workflows, and data-service templates
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Lovable
Web applications using TanStack Start for new projects, with older React and Vite projects still supported
03
Portability
Keep the deployment contract with the source.
Both give you access to code. Adios also keeps the production runtime definition in the repository.
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Adios
Project source and deploy contract stay together for Adios or local workflows
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Lovable
GitHub-synced code can be deployed elsewhere; data and configuration have documented export paths
Strong in different ways
Choose the workflow and product shape that match the application your team needs to ship.
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Where Adios shines
- ✓Bring more than a blank promptStart from a repository, local project, or template you already own.
- ✓Run the process the app needsRun web apps, APIs, workers, WebSockets, and workflows across several runtimes.
- ✓Review the production boundaryKeep health, secrets, dependencies, domains, and releases in one manifest.
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Where Lovable shines
- ✓Prompt-first web productsBuild and iterate on web applications through Lovable's conversational editor.
- ✓Lovable CloudUse built-in hosting, database, authentication, storage, edge functions, and AI.
- ✓GitHub synchronizationConnect a generated project to one GitHub repository with two-way default-branch sync.
The Adios workflow
Use a workspace or Git push, then release the version you reviewed.
Start with source
Connect Git, sync a local project, or use a template.
Build and preview
Work in a workspace or deploy from a Git push.
Review adios.yaml
Keep runtime, health, secrets, and resources in Git.
Release when healthy
Verify the version, then promote it to production.
Adios in practice
From AI conversation to running software.
Connect ChatGPT through MCP, keep deployment in Git, and automate backend work with visible workflows.
01
ChatGPT + MCP
Bring Adios tools into ChatGPT.
Connect ChatGPT to scoped Adios tools. It can work with project source, commands, previews, logs, and deployment context from the conversation.
Explore the MCP integration →name: node-api
region: de
replicas: 2
build_cmd: npm ci && npm run build
start_cmd: node dist/server.js
runtime:
name: node@24
port: 8080
memory_mb: 1024
health_path: /healthz
secrets:
DATABASE_URL: secret://DATABASE_URL02
Deployment as code
Production stays beside the source.
One readable file defines the build, start command, health check, memory, replicas, and secret references.
Review infrastructure changes with the code and reproduce the same deployment without rebuilding settings by hand.
Read the manifest docs →03
Visible workflows
Automate work. See every run.
Start on a schedule or webhook, pass data through ordered steps, and keep status, logs, outputs, and errors attached to the run.
Trigger
Process
Publish
workflow_id: daily-market-brief
enabled: true
triggers:
- type: cron
cron: "0 13 * * 1-5"
- type: webhook
event: market.brief.requested
secrets:
MARKET_DATA_API_KEY: secret://MARKET_DATA_API_KEY
steps:
- step_id: fetch-prices
kind: http
command:
method: GET
url: https://api.example.com/quotes
- step_id: select-close
kind: data-json
dependencies: [fetch-prices]
command:
from_step: fetch-prices
path: ".quotes"
- step_id: publish-brief
kind: http
dependencies: [select-close]
command:
method: POST
url: https://dashboard.example.com/api/market-briefs2 triggers3 visible stepsSecret-backed access
Adios-only capabilities
What Adios adds to the workflow
| Capability | Included with Adios | Lovable approach |
|---|---|---|
| Existing repository import | ✓ Start from an existing Git repository, a local project, or an Adios template. | — Lovable can create and sync a repository, but does not import an existing GitHub repository into Lovable. |
| Multi-runtime processes | ✓ Run web apps, APIs, always-on workers, WebSockets, workflows, and managed data services. | — Lovable focuses on web applications with Lovable Cloud, Supabase, and edge functions for backend work. |
| Explicit deployment manifest | ✓ Review build, start, runtime, health, replicas, memory, and secret references in adios.yaml. | — Lovable manages hosting and Cloud configuration through the project and platform settings. |
Pricing
Adios plans start at $10 per month
Choose the compute, memory, storage, bandwidth, and included AI usage that fit your applications.
Starter
For a first app, small API, or personal workspace.
$10/month
- ✓1 vCPU and 1 GB RAM
- ✓10 GB storage
- ✓500K included AI tokens
- ✓500 GB included bandwidth
Dev
For active development across several apps.
$50/month
- ✓2 vCPU and 4 GB RAM
- ✓50 GB storage
- ✓2.5M included AI tokens
- ✓2 TB included bandwidth
Pro
For production projects that need more headroom.
$99/month
- ✓4 vCPU and 8 GB RAM
- ✓100 GB storage
- ✓5M included AI tokens
- ✓5 TB included bandwidth
Custom domains and TLS are included. Final terms and availability are shown before checkout.
Compare all plan details →Frequently asked questions
?What is the main difference between Adios and Lovable?
Adios connects source, preview, and runtime across several app types. Lovable focuses on prompt-first web product creation.
?When should I choose Adios over Lovable?
You want an inspectable, multi-runtime workspace with previews, logs, adios.yaml, and controlled releases.
?When is Lovable the better fit?
You want prompt-first web development, Lovable Cloud, and optional GitHub sync.
?Can I deploy an existing application with Adios?
Yes. Add adios.yaml to a repository or local project, then deploy from the CLI or a workspace.
Keep exploring
See how Adios works.
Build, preview, and release from one project.
Bring an existing repository or start from a template. Keep AI work, deployment, services, and operations connected.
Start building with Adios →