AppDeploy

What AppDeploy does

AppDeploy provides a deployment service for web applications written by an AI assistant. Connect it to a supported chat or coding agent, describe the application, and have the assistant submit the generated code for hosting. A live URL returns to the conversation, where you can continue requesting changes.

This suits prototypes, small internal utilities and web applications whose builders prefer working through an existing assistant. It also gives developers a route from generated code to a hosted project without separately assembling every backend service. The assistant still produces the application logic; AppDeploy supplies deployment instructions, templates and runtime services that help that code run.

Hosting, backend services and revisions

The official workflow guide describes managed hosting, HTTPS, database access, file storage, authentication, server-side APIs and real-time synchronization. Supported capabilities also include scheduled jobs and built-in AI services. These are relevant when a prototype needs persistent records or several users rather than a static screenshot.

The MCP documentation explains how the assistant obtains deployment instructions and an application template before sending code. Read-only tools can inspect deployed source snapshots, application status and prior versions. Version history and rollback provide a way to return to an earlier deployment when a revision causes problems. OAuth authentication connects the user's account to the supported client.

A small event-management example

For a volunteer event, describe a registration app with a public schedule, a signup form and an organizer view. Specify the fields participants should supply, capacity rules and which actions require organizer access. Ask the assistant to build the smallest complete workflow first, using sample records rather than real attendee information.

After deployment, open the returned URL and check registration, validation, capacity handling and the organizer view. Request a revision if the app accepts an impossible date or exposes organizer actions publicly. Inspect the deployment status and errors through the assistant, and retain a known working version before adding further features. This makes the generated application reviewable before people depend on it.

What deployment does not establish

A running page does not establish that application permissions, calculations or business rules are correct. AppDeploy documents an autonomous end-to-end QA workflow, but the pricing table lists this as optional on Plus and excludes it from Free. Even where QA is enabled, review important behavior against your own requirements rather than assuming that a successful deployment covers every edge case.

Apps use the platform's managed runtime and services. Review supported client connections and the service's deployment constraints before choosing it for a project with unusual infrastructure requirements. Some assistant platforms require a paid edition for connectors. Keep source exports and understand how your data and external integrations would be maintained if you changed hosting arrangements.

Access and shared credits

The pricing page offers a limited Free plan without a credit card and a paid Plus plan. Custom domains, watermark removal and optional QA belong to the paid edition. Source access and rollback appear in both plans.

Credits are shared across account projects, with daily, weekly and monthly limits. Hosting, visitor activity, deployment, storage, database operations and AI calls can all consume the balance. The documentation says hosted apps stop when no usable credits remain and resume when credits return. Estimate ongoing usage as well as initial deployment, and compare Bolt, Lovable and Replit for other application-building workflows.